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Banach Space Valued Neural Network

Banach Space Valued Neural Network

George A. Anastassiou

47,13 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2022
Materia
Inteligencia artificial
ISBN:
9783031164019
47,13 €
IVA incluido
Disponible

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This book is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are Banach space valued. These are induced by a great variety of activation functions deriving from the arctangent, algebraic, Gudermannian, and generalized symmetric sigmoid functions. Ordinary, fractional, fuzzy, and stochastic approximations are exhibited at the univariate, fractional, and multivariate levels. Iterated-sequential approximations are also covered. The book’s results are expected to find applications in the many areas of applied mathematics, computer science and engineering, especially in artificial intelligence and machine learning. Other possible applications can be in applied sciences like statistics, economics, etc. Therefore, this book is suitable for researchers, graduate students, practitioners, and seminars of the above disciplines, also to be in all science and engineering libraries.

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