|
Showing 1 - 6 of
6 matches in All Departments
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 research monograph presents selected areas of applications in
the field of control systems engineering using computational
intelligence methodologies. A number of applications and case
studies are introduced. These methodologies are increasing used in
many applications of our daily lives. Approaches include,
fuzzy-neural multi model for decentralized identification, model
predictive control based on time dependent recurrent neural network
development of cognitive systems, developments in the field of
Intelligent Multiple Models based Adaptive Switching Control,
designing military training simulators using modelling, simulation,
and analysis for operational analyses and training, methods for
modelling of systems based on the application of Gaussian
processes, computational intelligence techniques for process
control and image segmentation technique based on modified particle
swarm optimized-fuzzy entropy.
|
Artificial Neural Networks and Machine Learning -- ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings (Paperback, 2014 ed.)
Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia Koprinkova-Hristova, …
|
R1,762
Discovery Miles 17 620
|
Ships in 10 - 15 working days
|
The book constitutes the proceedings of the 24th International
Conference on Artificial Neural Networks, ICANN 2014, held in
Hamburg, Germany, in September 2014. The 107 papers included in the
proceedings were carefully reviewed and selected from 173
submissions. The focus of the papers is on following topics:
recurrent networks; competitive learning and self-organisation;
clustering and classification; trees and graphs; human-machine
interaction; deep networks; theory; reinforcement learning and
action; vision; supervised learning; dynamical models and time
series; neuroscience; and applications.
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 research monograph presents selected areas of applications in
the field of control systems engineering using computational
intelligence methodologies. A number of applications and case
studies are introduced. These methodologies are increasing used in
many applications of our daily lives. Approaches include,
fuzzy-neural multi model for decentralized identification, model
predictive control based on time dependent recurrent neural network
development of cognitive systems, developments in the field of
Intelligent Multiple Models based Adaptive Switching Control,
designing military training simulators using modelling, simulation,
and analysis for operational analyses and training, methods for
modelling of systems based on the application of Gaussian
processes, computational intelligence techniques for process
control and image segmentation technique based on modified particle
swarm optimized-fuzzy entropy.
|
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, …
|
R1,697
Discovery Miles 16 970
|
Ships in 10 - 15 working days
|
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.
|
You may like...
Miles Ahead
Don Cheadle, Ewan McGregor
DVD
(1)
R55
Discovery Miles 550
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|