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Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks

Robotics - What Beginners Need to Know about Robotic Process Automation, Mobile Robots, Artificial Intelligence, Machine... Robotics - What Beginners Need to Know about Robotic Process Automation, Mobile Robots, Artificial Intelligence, Machine Learning, Autonomous Vehicles, Speech Recognition, Drones, and Our Future (Hardcover)
Neil Wilkins
R721 R637 Discovery Miles 6 370 Save R84 (12%) Ships in 10 - 15 working days
Robust and Fault-Tolerant Control - Neural-Network-Based Solutions (Hardcover, 1st ed. 2019): Krzysztof Patan Robust and Fault-Tolerant Control - Neural-Network-Based Solutions (Hardcover, 1st ed. 2019)
Krzysztof Patan
R4,117 Discovery Miles 41 170 Ships in 10 - 15 working days

Robust and Fault-Tolerant Control proposes novel automatic control strategies for nonlinear systems developed by means of artificial neural networks and pays special attention to robust and fault-tolerant approaches. The book discusses robustness and fault tolerance in the context of model predictive control, fault accommodation and reconfiguration, and iterative learning control strategies. Expanding on its theoretical deliberations the monograph includes many case studies demonstrating how the proposed approaches work in practice. The most important features of the book include: a comprehensive review of neural network architectures with possible applications in system modelling and control; a concise introduction to robust and fault-tolerant control; step-by-step presentation of the control approaches proposed; an abundance of case studies illustrating the important steps in designing robust and fault-tolerant control; and a large number of figures and tables facilitating the performance analysis of the control approaches described. The material presented in this book will be useful for researchers and engineers who wish to avoid spending excessive time in searching neural-network-based control solutions. It is written for electrical, computer science and automatic control engineers interested in control theory and their applications. This monograph will also interest postgraduate students engaged in self-study of nonlinear robust and fault-tolerant control.

Fuzzy Pictures as Philosophical Problem and Scientific Practice - A Study of Visual Vagueness (Hardcover, 1st ed. 2017): Jordi... Fuzzy Pictures as Philosophical Problem and Scientific Practice - A Study of Visual Vagueness (Hardcover, 1st ed. 2017)
Jordi Cat
R2,879 Discovery Miles 28 790 Ships in 10 - 15 working days

This book presents a comprehensive discussion on the characterization of vagueness in pictures. It reports on how the problem of representation of images has been approached in scientific practice, highlighting the role of mathematical methods and the philosophical background relevant for issues such as representation, categorization and reasoning. Without delving too much into the technical details, the book examines and defends different kinds of values of fuzziness based on a complex approach to categorization as a practice, adopting conceptual and empirical suggestions from different fields including the arts. It subsequently advances criticisms and provides suggestions for interpretation and application. By describing a cognitive framework based on fuzzy, rough and near sets, and discussing all of the relevant mathematical and philosophical theories for the representation and processing of vagueness in images, the book offers a practice-oriented guide to fuzzy visual reasoning, along with novel insights into the field of interpreting and thinking with fuzzy pictures and fuzzy data.

Intelligent Systems for Optical Networks Design - Advancing Techniques (Hardcover): Yousef S. Kavian, Z. Ghassemlooy Intelligent Systems for Optical Networks Design - Advancing Techniques (Hardcover)
Yousef S. Kavian, Z. Ghassemlooy
R5,345 Discovery Miles 53 450 Ships in 10 - 15 working days

As the increased demand for high-speed communication creates an interest in the development of optical networks, intelligent all optical networks have emerged as the next generation for reliable and fast connections. Intelligent Systems for Optical Networks Design: Advancing Techniques is a comprehensive collection of research focused on theoretical and practical aspects of intelligent methodologies as applied to real world problems. This reference source is useful for research and development engineers, scholars, and students interested in the latest development in the area of intelligent systems for optical networks design.

Artificial Neural Network Modelling (Hardcover, 1st ed. 2016): Subana Shanmuganathan, Sandhya Samarasinghe Artificial Neural Network Modelling (Hardcover, 1st ed. 2016)
Subana Shanmuganathan, Sandhya Samarasinghe
R5,192 Discovery Miles 51 920 Ships in 12 - 19 working days

This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.

Advances in Intelligent Systems (Hardcover): F.C. Morabito Advances in Intelligent Systems (Hardcover)
F.C. Morabito
R3,037 Discovery Miles 30 370 Ships in 12 - 19 working days

Intelligent Systems can be defined as systems whose design, mainly based on computational techniques, is supported, in some parts, by operations and processing skills inspired by human reasoning and behaviour. Intelligent Systems must typically operate in a scenario in which non-linearities are the rule and not as a disturbing effect to be corrected. Finally, Intelligent Systems also have to incorporate advanced sensory technology in order to simplify man-machine interactions. Several algorithms are currently the ordinary tools of Intelligent Systems. This book contains a selection of contributions regarding Intelligent Systems by experts in diverse fields. Topics discussed in the book are: Applications of Intelligent Systems in Modelling and Prediction of Environmental Changes, Cellular Neural Networks for NonLinear Filtering, NNs for Signal Processing, Image Processing, Transportation Intelligent Systems, Intelligent Techniques in Power Electronics, Applications in Medicine and Surgery, Hardware Implementation and Learning of NNs.

Fuzzy Logic in Its 50th Year - New Developments, Directions and Challenges (Hardcover, 1st ed. 2016): Cengiz Kahraman, Uzay... Fuzzy Logic in Its 50th Year - New Developments, Directions and Challenges (Hardcover, 1st ed. 2016)
Cengiz Kahraman, Uzay Uzay Kaymak, Adnan Yazici
R4,896 R3,751 Discovery Miles 37 510 Save R1,145 (23%) Ships in 12 - 19 working days

This book offers a multifaceted perspective on fuzzy set theory, discussing its developments over the last 50 years. It reports on all types of fuzzy sets, from ordinary to hesitant fuzzy sets, with each one explained by its own developers, authoritative scientists well known for their previous works. Highlighting recent theorems and proofs, the book also explores how fuzzy set theory has come to be extensively used in almost all branches of science, including the health sciences, decision science, earth science and the social sciences alike. It presents a wealth of real-world sample applications, from routing problem to robotics, and from agriculture to engineering. By offering a comprehensive, timely and detailed portrait of the field, the book represents an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on new fuzzy set extensions.

Machine Learning - The Ultimate Guide to Machine Learning, Neural Networks and Deep Learning for Beginners Who Want to... Machine Learning - The Ultimate Guide to Machine Learning, Neural Networks and Deep Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More (Hardcover)
Herbert Jones
R776 R692 Discovery Miles 6 920 Save R84 (11%) Ships in 10 - 15 working days
Design of Interpretable Fuzzy Systems (Hardcover, 1st ed. 2017): Krzysztof Cpalka Design of Interpretable Fuzzy Systems (Hardcover, 1st ed. 2017)
Krzysztof Cpalka
R2,883 Discovery Miles 28 830 Ships in 10 - 15 working days

This book shows that the term "interpretability" goes far beyond the concept of readability of a fuzzy set and fuzzy rules. It focuses on novel and precise operators of aggregation, inference, and defuzzification leading to flexible Mamdani-type and logical-type systems that can achieve the required accuracy using a less complex rule base. The individual chapters describe various aspects of interpretability, including appropriate selection of the structure of a fuzzy system, focusing on improving the interpretability of fuzzy systems designed using both gradient-learning and evolutionary algorithms. It also demonstrates how to eliminate various system components, such as inputs, rules and fuzzy sets, whose reduction does not adversely affect system accuracy. It illustrates the performance of the developed algorithms and methods with commonly used benchmarks. The book provides valuable tools for possible applications in many fields including expert systems, automatic control and robotics.

Uncertainty Management with Fuzzy and Rough Sets - Recent Advances and Applications (Hardcover, 1st ed. 2019): Rafael Bello,... Uncertainty Management with Fuzzy and Rough Sets - Recent Advances and Applications (Hardcover, 1st ed. 2019)
Rafael Bello, Rafael Falcon, Jose-Luis Verdegay
R2,947 Discovery Miles 29 470 Ships in 10 - 15 working days

This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.

Local Area Networks in Information Management (Hardcover): Harry Kibirige Local Area Networks in Information Management (Hardcover)
Harry Kibirige
R2,218 Discovery Miles 22 180 Ships in 10 - 15 working days

Local Area Networks (LANs) have a high potential for alleviating many of the problems associated with stand-alone microcomputers. Networking microcomputers to share information, software and hardware, as well as facilite electronic mail is not only feasible and desirable, but also logical. Harry Kibirige's issue-oriented study explores microcomputer networking systems with particular emphasis on LANs. Although his analysis emphasizes issues from an information scientist's perspective, readers who want to gain an understanding of LAN technology and its applications should find it useful. Written with a minimum of jargon, the book can be used in academic, corporate, library, federal and state agency, and not-for-profit organizational settings. The author begins with an introduction to the general concepts surrounding LANs. He discusses LANs as structures for processing information and compares and contrasts them with other structures such as time-sharing systems. Also considered are salient factors concerned with LAN design and implementation. In a chapter devoted to choosing an LAN, Kibirige explains in detail the fundamental problems of choice as well as steps which should be taken in making a final selection. Other issues covered are the relationship of LANs to other existing automation programs, significant management issues, currently implemented alternatives to LANS, technology trends which will impact the future of LANs, and social issues concerned with LANs. Finally, Kibirige summarizes the results of the CUNY study of microcomputer networking systems, a report that emphasized information center/libraries.

Theory, Concepts and Methods of Recurrent Neural Networks and Soft Computing (Hardcover): Jeremy Rogerson Theory, Concepts and Methods of Recurrent Neural Networks and Soft Computing (Hardcover)
Jeremy Rogerson
R3,281 R2,965 Discovery Miles 29 650 Save R316 (10%) Ships in 10 - 15 working days
Understanding 99% of Artificial Neural Networks - Introduction & Tricks (Hardcover): Marcelo Bosque Understanding 99% of Artificial Neural Networks - Introduction & Tricks (Hardcover)
Marcelo Bosque
R586 R540 Discovery Miles 5 400 Save R46 (8%) Ships in 10 - 15 working days

There is a deep desire in men, in order to reproduce intelligence and place it in a machine. Neural Networks are an attempt to reproduce the synaptic connections of our brain in a computer. Duplicating the way we use our neurons to think in a machine, it is expected to have a device that could be able to do intelligent tasks, the ones reserved just to humans some time ago. Neural Network is a reality now, not a fantasy, and they have been made in order to recognize patterns (a face, a photograph or a song, are patterns) and forecast trends. I have seen many books about this subject in my life. All of them are hard to read, and tedious to learn, so I decided to make my own one.

For beginner readers, I have tried to use a simple language, in order to be understood by anyone who wants to know about nets. An easy to read, practical and concise work. If you are interested in the brain functions and how can we simulate it in a computer, youll get here a differenty to penetrate into their secrets. For advanced readers who want to make their own nets, I have included a methodology for building neural networks and complete sample computer source-code with tricks that will save you a lot of time while designing it.

Machine Learning Applications in Non-Conventional Machining Processes (Hardcover): Goutam Kumar Bose, Pritam Pain Machine Learning Applications in Non-Conventional Machining Processes (Hardcover)
Goutam Kumar Bose, Pritam Pain
R5,776 Discovery Miles 57 760 Ships in 10 - 15 working days

Traditional machining has many limitations in today's technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algorithms has recently transformed the manufacturing industry and created countless opportunities in non-traditional machining methods. Significant research in this area, however, is still considerably lacking. Machine Learning Applications in Non-Conventional Machining Processes is a collection of innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. While highlighting topics including evolutionary algorithms, micro-machining, and artificial neural networks, this book is ideally designed for researchers, academicians, engineers, managers, developers, practitioners, industrialists, and students seeking current research on intelligence-based machining processes in today's technology-driven market.

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications (Hardcover,... Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications (Hardcover, 1st ed. 2020)
Oscar Castillo, Patricia Melin, Janusz Kacprzyk
R6,495 Discovery Miles 64 950 Ships in 10 - 15 working days

This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.

Issues in the Use of Neural Networks in Information Retrieval (Hardcover, 1st ed. 2017): Iuliana F. Iatan Issues in the Use of Neural Networks in Information Retrieval (Hardcover, 1st ed. 2017)
Iuliana F. Iatan
R3,522 Discovery Miles 35 220 Ships in 12 - 19 working days

This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image similarity and describes how to use fuzzy Gaussian neural networks to predict personality.It introduces the fuzzy Clifford Gaussian network, and two concurrent neural models: (1) concurrent fuzzy nonlinear perceptron modules, and (2) concurrent fuzzy Gaussian neural network modules.Furthermore, it explains the design of a new model of fuzzy nonlinear perceptron based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm based on the improved particle swarm optimization method.

Blind Equalization in Neural Networks - Theory, Algorithms and Applications (Hardcover): Liyi Zhang Blind Equalization in Neural Networks - Theory, Algorithms and Applications (Hardcover)
Liyi Zhang; Contributions by Tsinghua University Press
R3,870 Discovery Miles 38 700 Ships in 12 - 19 working days

The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists.

Hesitant Fuzzy Decision Making Methodologies and Applications (Hardcover, 1st ed. 2017): Huchang Liao, Zeshui Xu Hesitant Fuzzy Decision Making Methodologies and Applications (Hardcover, 1st ed. 2017)
Huchang Liao, Zeshui Xu
R3,417 Discovery Miles 34 170 Ships in 10 - 15 working days

This book offers a comprehensive and systematic introduction to the latest research on hesitant fuzzy decision-making theory. It includes six parts: the hesitant fuzzy set and its extensions, novel hesitant fuzzy measures, hesitant fuzzy hybrid weighted aggregation operators, hesitant fuzzy multiple-criteria decision-making with incomplete weights, hesitant fuzzy multiple criteria decision-making with complete weights information, and the hesitant fuzzy preference relation based decision-making theory. These methodologies are implemented in various fields such as decision-making, medical diagnosis, cluster analysis, service quality management, e-learning management and environmental management. A valuable resource for engineers, technicians, and researchers in the fields of fuzzy mathematics, operations research, information science, management science and engineering, it can also be used as a textbook for postgraduate and senior undergraduate students.

Fuzzy Knowledge Management for the Semantic Web (Hardcover, 2014 ed.): Zongmin Ma, Fu Zhang, Li Yan, Jingwei Cheng Fuzzy Knowledge Management for the Semantic Web (Hardcover, 2014 ed.)
Zongmin Ma, Fu Zhang, Li Yan, Jingwei Cheng
R4,457 R3,600 Discovery Miles 36 000 Save R857 (19%) Ships in 12 - 19 working days

This book goes to great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the Semantic Web. The topics of this book include fuzzy description logics and fuzzy ontologies, queries of fuzzy description logics and fuzzy ontology knowledge bases, extraction of fuzzy description logics and ontologies from fuzzy data models, storage of fuzzy ontology knowledge bases in fuzzy databases, fuzzy Semantic Web ontology mapping, and fuzzy rules and their interchange in the Semantic Web. The book aims to provide a single record of current research in the fuzzy knowledge representation and reasoning for the Semantic Web. The objective of the book is to provide the state of the art information to researchers, practitioners and graduate students of the Web intelligence and at the same time serve the knowledge and data engineering professional faced with non-traditional applications that make the application of conventional approaches difficult or impossible.

Neural Networks and Fuzzy Logic (Hardcover, St ed.): Naga Bhaskar, G Vijay Kumar Neural Networks and Fuzzy Logic (Hardcover, St ed.)
Naga Bhaskar, G Vijay Kumar
R1,603 Discovery Miles 16 030 Ships in 12 - 19 working days
Artificial Neural Systems Handbook: Volume II (Hardcover): Sophia Nelson Artificial Neural Systems Handbook: Volume II (Hardcover)
Sophia Nelson
R3,426 R3,096 Discovery Miles 30 960 Save R330 (10%) Ships in 10 - 15 working days
Neural Networks and Intellect - Using Model Based Concepts (Hardcover): Leonid Perlovsky Neural Networks and Intellect - Using Model Based Concepts (Hardcover)
Leonid Perlovsky
R5,951 Discovery Miles 59 510 Ships in 12 - 19 working days

This is a textbook for courses commonly called neural networks in departments of computer and information science. This unique neural network book will describe novel architectures and learning mechanisms of model-based neural networks that utilize and intriguing concept of an internal "world" model. This concept combines a prior knowledge of models with adaptive learning and addresses the most perplexing problems in the fields of neural networks: fast learning and robust generalization. The author provides an overview of neural networks and artificial intelligence fields, relating hundreds of seemingly disparate techniques to several basic mathematical concepts. He then analyzes fundamental computational concepts of major neural network paradigms, and relates them to concepts of mind in philosophy, pschology, and linguistics. Relationships of these mathematical concepts to the concepts of philosophy will help students and researchers determine the directions of future research. This book can also be used as a supplementary text in a graduate course on Neural Networks.

Artificial Neural Systems Handbook: Volume I (Hardcover): Sophia Nelson Artificial Neural Systems Handbook: Volume I (Hardcover)
Sophia Nelson
R3,434 R3,104 Discovery Miles 31 040 Save R330 (10%) Ships in 10 - 15 working days
Applied Modern Control (Hardcover): Le Anh Tuan Applied Modern Control (Hardcover)
Le Anh Tuan
R3,342 Discovery Miles 33 420 Ships in 10 - 15 working days
Theory of Fuzzy Computation (Hardcover, 2014 ed.): Apostolos Syropoulos Theory of Fuzzy Computation (Hardcover, 2014 ed.)
Apostolos Syropoulos
R2,991 R1,927 Discovery Miles 19 270 Save R1,064 (36%) Ships in 12 - 19 working days

The book provides the first full length exploration of fuzzy computability. It describes the notion of fuzziness and present the foundation of computability theory. It then presents the various approaches to fuzzy computability. This text provides a glimpse into the different approaches in this area, which is important for researchers in order to have a clear view of the field. It contains a detailed literature review and the author includes all proofs to make the presentation accessible. Ideas for future research and explorations are also provided. Students and researchers in computer science and mathematics will benefit from this work.

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