225815
Format: PDF
File size: PDF 17 MB
Language: English
Robert Hecht Nielsen, Computational Neurobiology, University of California, San Diego
Professor Galushkin's monograph has many unique features that in totality make his work an important contribution to the literature of neural networks theory. He and his publisher deserve profuse thanks and congratulations from all who are seriously interested in the foundations of neural networks theory, its evolution and current status.
Lotfi Zadeh, Berkeley, Founder of Fuzziness
Professor Galushkin, a leader in neural networks theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization, concepts that are solidly grounded in Russian tradition. His theory is expansive: covering not just the traditional topics such as network architecture, it also addresses neural continua in function spaces. I am pleased to see his theory presented in its entirety here, for the first time for many, so that the both theory he developed and the approach he took to understand such complex phenomena can be fully appreciated.
Sun-Ichi Amari, Director of RIKEN Brain Science Institute RIKEN