Neural Networks Theory

Download Neural Networks Theory full books in PDF, epub, and Kindle. Read online free Neural Networks Theory ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Neural Networks Theory

Neural Networks Theory
Author :
Publisher : Springer Science & Business Media
Total Pages : 396
Release :
ISBN-10 : 9783540481256
ISBN-13 : 3540481257
Rating : 4/5 (257 Downloads)

Book Synopsis Neural Networks Theory by : Alexander I. Galushkin

Download or read book Neural Networks Theory written by Alexander I. Galushkin and published by Springer Science & Business Media. This book was released on 2007-10-29 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural continua in function spaces as well.


Neural Networks Theory Related Books

Neural Networks Theory
Language: en
Pages: 396
Authors: Alexander I. Galushkin
Categories: Technology & Engineering
Type: BOOK - Published: 2007-10-29 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optim
Process Neural Networks
Language: en
Pages: 240
Authors: Xingui He
Categories: Computers
Type: BOOK - Published: 2010-07-05 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping
The Principles of Deep Learning Theory
Language: en
Pages: 473
Authors: Daniel A. Roberts
Categories: Computers
Type: BOOK - Published: 2022-05-26 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
Neural Network Learning
Language: en
Pages: 405
Authors: Martin Anthony
Categories: Computers
Type: BOOK - Published: 1999-11-04 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This work explores probabilistic models of supervised learning problems and addresses the key statistical and computational questions. Chapters survey research
The Handbook of Brain Theory and Neural Networks
Language: en
Pages: 1328
Authors: Michael A. Arbib
Categories: Neural circuitry
Type: BOOK - Published: 2003 - Publisher: MIT Press

DOWNLOAD EBOOK

This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and,