Description: Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics (Springer Series in Bio-/Neuroinformatics, 4) [Hardcover] Koprinkova-Hristova, Petia; Mladenov, Valeri and Kasabov, Nikola K. Product Overview 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. Read more Details Publisher : Springer; 2015th edition (September 11, 2014) Language : English Hardcover : 497 pages ISBN-10 : 3319099027 ISBN-13 : 26 Item Weight : 1.92 pounds Dimensions : 6.14 x 1.06 x 9.21 inches Best Sellers Rank: #11,303,402 in Books (See Top 100 in Books) #2,775 in Bioinformatics (Books) #4,046 in Neuroscience (Books) #5,575 in Scientific Research #2,775 in Bioinformatics (Books) #4,046 in Neuroscience (Books) We have been selling used books since 2012, and we've learned that the most important thing is doing good business. Honesty is our policy. Free Shipping We ship worldwide. We have multiple warehouses around the world, so please note the extended handling time on certain listings.
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ISBN: 3319099027
ISBN10: 3319099027
ISBN13: 9783319099026
EAN: 9783319099026
MPN: does not apply
Brand: Springer
GTIN: 09783319099026
Number of Pages: IX, 488 Pages
Language: English
Publication Name: Artificial Neural Networks : Methods and Applications in Bio-/Neuroinformatics
Publisher: Springer International Publishing A&G
Subject: Engineering (General), Intelligence (Ai) & Semantics, Neural Networks, Life Sciences / Biology
Publication Year: 2014
Item Weight: 40 Oz
Type: Textbook
Item Length: 9.3 in
Author: Valeri Mladenov
Subject Area: Computers, Technology & Engineering, Science
Item Width: 6.1 in
Series: Springer Series in Bio-/Neuroinformatics Ser.
Format: Hardcover