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Автор: Bernard Widrow
Издательство: Springer
Серия: Springer Series on Bio- and Neurosystems
Год: 2023
Страниц: 322
Язык: английский
Формат: pdf
Размер: 10.15 MB
This book takes the notions of adaptivity and learning from the realm of engineering into the realm of biology and natural processes. It introduces a Hebbian-LMS (Least Mean Square) algorithm, an integration of unsupervised Hebbian learning and supervised LMS learning in neural networks, as a mathematical representation of a general theory for synaptic learning in the brain, and adaptation and functional control of homeostasis in living systems. The algorithm and its natural applications involve many scientific disciplines, some of which are: electrical engineering, control engineering, Computer Science (CS), Artificial Intelligence (AI), neurobiology, cell biology, psychology, psychiatry, endocrinology, cardiology, nephrology, internal medicine, etc. Also, we must not forget the fundamentals: mathematics, physics and chemistry. This book is written for scientists and practitioners in these fields.