This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nlinear 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 t just traditional topics such as network architecture but also neural continua in function spaces as well.
Alexander I. Galushkin
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Date of Publication
Computing: Professional & Programming
Place of Publication
Country of Publication
Springer-Verlag Berlin and Heidelberg GmbH & Co. K