Artificial Neural Networks - Methods and Applications in Bio-/Neuroinformatics (Paperback, Softcover reprint of the original 1st ed. 2015)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Series in Bio-/Neuroinformatics, 4
Release date:	September 2016
First published:	2015
Editors:	Petia Koprinkova-Hristova • Valeri Mladenov • Nikola K. Kasabov
Dimensions:	235 x 155 x 26mm (L x W x T)
Format:	Paperback
Pages:	488
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-34950-3
Categories:	Books > Computing & IT > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	3-319-34950-3
Barcode:	9783319349503

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