Neural Circuits and Networks, Vincent Torre; John Nicholls

Автор: Allen Selverston
Название: Model Neural Networks and Behavior
ISBN: 147575860X ISBN-13(EAN): 9781475758603
Издательство: Springer
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Описание: The most conspicuous function of the nervous system is to control animal behav- ior. In neurobiology, many invertebrates have become established as model systems for investigations at both the systems and the cellular level.

Автор: H.A. Mastebroek; J.E. Vos
Название: Plausible Neural Networks for Biological Modelling
ISBN: 9401038643 ISBN-13(EAN): 9789401038645
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Standard artificial neural networks are constructed from `units` (roughly similar to neurons) that transmit their `activity` (similar to membrane potentials or to mean firing rates) to other units via `weight factors` (similar to synaptic coupling efficacies).

Автор: Petia Koprinkova-Hristova; Valeri Mladenov; Nikola
Название: Artificial Neural Networks
ISBN: 3319349503 ISBN-13(EAN): 9783319349503
Издательство: Springer
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Описание:

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.

Автор: Cesare Alippi; Marios M. Polycarpou; Christos Pana
Название: Artificial Neural Networks – ICANN 2009
ISBN: 3642042732 ISBN-13(EAN): 9783642042737
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS).

Автор: Sankar K. Pal; Shubhra S. Ray; Avatharam Ganivada
Название: Granular Neural Networks, Pattern Recognition and Bioinformatics
ISBN: 3319571133 ISBN-13(EAN): 9783319571133
Издательство: Springer
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Описание: This book provides a uniform framework describing how fuzzy rough granular neural network technologies can be formulated and used in building efficient pattern recognition and mining models.

Автор: Zhang Wenjun
Название: Computational Ecology: Artificial Neural Networks And Their Applications
ISBN: 9814282626 ISBN-13(EAN): 9789814282628
Издательство: World Scientific Publishing
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Цена: 15840.00 р.
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Описание: Due to the complexity and non-linearity of most ecological problems, artificial neural networks (ANNs) have attracted attention from ecologists and environmental scientists. This book provides readers with knowledge on algorithms, programs, and applications of ANNs in ecology. It proposes computational ecology.