Neural networks theory

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"Neural Networks Theory is a significant contribution to the field, offering invaluable insights from Soviet and Russian research that many researchers and practitioners worldwide have previously lacked access to. Dr. Galushkin deserves commendation for completing this monumental work, which is a unique gift to the global community. The monograph features distinctive elements that collectively enhance its importance in the literature surrounding neural networks theory. Both the author and his publisher warrant heartfelt thanks from those genuinely interested in the foundations, evolution, and current status of this field. Professor Galushkin, a prominent figure in Russian neural networks theory, employs mathematical methods alongside complexity theory, nonlinear dynamics, and optimization, reflecting a strong Russian tradition. His expansive theory not only covers traditional topics like network architecture but also delves into neural continua in function spaces. This comprehensive presentation allows for a deeper appreciation of both the theory he developed and the methods he used to explore complex phenomena, making it accessible for the first time to many in the field."