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The book reports on the latest theories on artificial neural
networks, with a special emphasis on bio-neuroinformatics methods.
It includes twenty-three papers selected from among the best
contributions on bio-neuroinformatics-related issues, which were
presented at the International Conference on Artificial Neural
Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN
2013). The book covers a broad range of topics concerning the
theory and applications of artificial neural networks, including
recurrent neural networks, super-Turing computation and reservoir
computing, double-layer vector perceptrons, nonnegative matrix
factorization, bio-inspired models of cell communities, Gestalt
laws, embodied theory of language understanding, saccadic gaze
shifts and memory formation, and new training algorithms for Deep
Boltzmann Machines, as well as dynamic neural networks and kernel
machines. It also reports on new approaches to reinforcement
learning, optimal control of discrete time-delay systems, new
algorithms for prototype selection, and group structure
discovering. Moreover, the book discusses one-class support vector
machines for pattern recognition, handwritten digit recognition,
time series forecasting and classification, and anomaly
identification in data analytics and automated data analysis. By
presenting the state-of-the-art and discussing the current
challenges in the fields of artificial neural networks,
bioinformatics and neuroinformatics, the book is intended to
promote the implementation of new methods and improvement of
existing ones, and to support advanced students, researchers and
professionals in their daily efforts to identify, understand and
solve a number of open questions in these fields.
The European Computing Conference offers a unique forum for
establishing new collaborations within present or upcoming research
projects, exchanging useful ideas, presenting recent research
results, participating in discussions and establishing new academic
collaborations, linking university with the industry. Engineers and
Scientists working on various areas of Systems Theory, Applied
Mathematics, Simulation, Numerical and Computational Methods and
Parallel Computing present the latest findings, advances, and
current trends on a wide range of topics. This proceedings volume
will be of interest to students, researchers, and practicing
engineers.
The European Computing Conference offers a unique forum for
establishing new collaborations within present or upcoming research
projects, exchanging useful ideas, presenting recent research
results, participating in discussions and establishing new academic
collaborations, linking university with the industry. Engineers and
Scientists working on various areas of Systems Theory, Applied
Mathematics, Simulation, Numerical and Computational Methods and
Parallel Computing present the latest findings, advances, and
current trends on a wide range of topics. This proceedings volume
will be of interest to students, researchers, and practicing
engineers.
This book provides readers with modern computational techniques for
solving variety of problems from electrical, mechanical, civil and
chemical engineering. Mathematical methods are presented in a
unified manner, so they can be applied consistently to problems in
applied electromagnetics, strength of materials, fluid mechanics,
heat and mass transfer, environmental engineering, biomedical
engineering, signal processing, automatic control and more.
The book reports on the latest theories on artificial neural
networks, with a special emphasis on bio-neuroinformatics methods.
It includes twenty-three papers selected from among the best
contributions on bio-neuroinformatics-related issues, which were
presented at the International Conference on Artificial Neural
Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN
2013). The book covers a broad range of topics concerning the
theory and applications of artificial neural networks, including
recurrent neural networks, super-Turing computation and reservoir
computing, double-layer vector perceptrons, nonnegative matrix
factorization, bio-inspired models of cell communities, Gestalt
laws, embodied theory of language understanding, saccadic gaze
shifts and memory formation, and new training algorithms for Deep
Boltzmann Machines, as well as dynamic neural networks and kernel
machines. It also reports on new approaches to reinforcement
learning, optimal control of discrete time-delay systems, new
algorithms for prototype selection, and group structure
discovering. Moreover, the book discusses one-class support vector
machines for pattern recognition, handwritten digit recognition,
time series forecasting and classification, and anomaly
identification in data analytics and automated data analysis. By
presenting the state-of-the-art and discussing the current
challenges in the fields of artificial neural networks,
bioinformatics and neuroinformatics, the book is intended to
promote the implementation of new methods and improvement of
existing ones, and to support advanced students, researchers and
professionals in their daily efforts to identify, understand and
solve a number of open questions in these fields.
This volume constitutes the refereed proceedings of the 15th
International Conference on Engineering Applications of Neural
Networks, EANN 2014, held in Sofia, Bulgaria, in September 2014.
The 18 revised full papers presented together with 5 short papers
were carefully reviewed and selected from 37 submissions. The
papers demonstrate a variety of applications of neural networks and
other computational intelligence approaches to challenging problems
relevant to society and the economy. These include areas such as:
environmental engineering, facial expression recognition,
classification with parallelization algorithms, control of
autonomous unmanned aerial vehicles, intelligent transport, flood
forecasting, classification of medical images, renewable energy
systems, intrusion detection, fault classification and general
engineering.
This book provides readers with modern computational techniques
for solving variety of problems from electrical, mechanical, civil
and chemical engineering. Mathematical methods are presented in a
unified manner, so they can be applied consistently to problems in
applied electromagnetics, strength of materials, fluid mechanics,
heat and mass transfer, environmental engineering, biomedical
engineering, signal processing, automatic control and more.
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Artificial Neural Networks and Machine Learning -- ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings (Paperback, 2013 ed.)
Valeri Mladenov, Petia Koprinkova-Hristova, G unther Palm, Alessandro Villa, Bruno Apolloni, …
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The book constitutes the proceedings of the 23rd International
Conference on Artificial Neural Networks, ICANN 2013, held in
Sofia, Bulgaria, in September 2013. The 78 papers included in the
proceedings were carefully reviewed and selected from 128
submissions. The focus of the papers is on following topics:
neurofinance graphical network models, brain machine interfaces,
evolutionary neural networks, neurodynamics, complex systems,
neuroinformatics, neuroengineering, hybrid systems, computational
biology, neural hardware, bioinspired embedded systems, and
collective intelligence.
The European Computing Conference offers a unique forum for
establishing new collaborations within present or upcoming research
projects, exchanging useful ideas, presenting recent research
results, participating in discussions and establishing new academic
collaborations, linking university with the industry. Engineers and
Scientists working on various areas of Systems Theory, Applied
Mathematics, Simulation, Numerical and Computational Methods and
Parallel Computing present the latest findings, advances, and
current trends on a wide range of topics. This proceedings volume
will be of interest to students, researchers, and practicing
engineers.
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