Neural Network Parallel Computing, Yoshiyasu Takefuji

Автор: Chua
Название: Cellular Neural Networks and Visual Computing
ISBN: 0521652472 ISBN-13(EAN): 9780521652476
Издательство: Cambridge Academ
Рейтинг:
Цена: 20909.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is a unique undergraduate level textbook on Cellular Nonlinear/neural Networks (CNN) technology. The many examples and excercises, including a simulator accessible via the Internet, make this book an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of backgrounds.

Автор: J.G. Taylor
Название: Neural Network Applications
ISBN: 3540197729 ISBN-13(EAN): 9783540197720
Издательство: Springer
Рейтинг:
Цена: 12157.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Neural Network Applications contains the 12 papers presented at the second British Neural Network Society Meeting (NCM `91) held at King`s College London on 1st October 1991. The meeting was sponsored by the Centre for Neural Networks, King`s College, and the British Neural Network Society, and was also part of the DEANNA ESPRIT programme.

Автор: George A. Anastassiou
Название: Intelligent Systems II: Complete Approximation by Neural Network Operators
ISBN: 3319205048 ISBN-13(EAN): 9783319205045
Издательство: Springer
Рейтинг:
Цена: 26122.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This monograph is the continuation and completion of the monograph, "Intelligent Systems: Approximation by Artificial Neural Networks" written by the same author and published 2011 by Springer.The book you hold in hand presents the complete recent and original work of the author in approximation by neural networks.

Автор: Anthony
Название: Neural Network Learning
ISBN: 052157353X ISBN-13(EAN): 9780521573535
Издательство: Cambridge Academ
Рейтинг:
Цена: 18850.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. It is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics.

Автор: Edward J. Rzempoluck
Название: Neural Network Data Analysis Using Simulnet™
ISBN: 0387982558 ISBN-13(EAN): 9780387982557
Издательство: Springer
Рейтинг:
Цена: 13275.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents an introduction to the analysis of data using neural networks. This book discusses neural network functions such as multilayer feed-forward networks using error back propagation, genetic algorithm-neural network hybrids, generalized regression neural networks, learning quantizer networks, and self-organizing feature maps.

Автор: Gustavo Deco; Dragan Obradovic
Название: An Information-Theoretic Approach to Neural Computing
ISBN: 0387946667 ISBN-13(EAN): 9780387946665
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Neural networks provide powerful technology to model and control nonlinear and complex systems. This book presents a detailed formulation of neural networks from the information-theoretic viewpoint, showing how this perspective provides insights into the design theory of neural networks.