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AI Mathematics: Advanced Neural Network Approximation

Name: AI Mathematics: Advanced Neural Network Approximation
Brand: Springer, Berlin
SKU: 9783032150455
Price: 1376.2 RON
Availability: InStock

Autor: George A. Anastassiou

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Legare: Copertă tare

Editura: Springer, Berlin

Disponibilitate: În depozitul extern

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This book presents the new idea of going from the neural networks main tools, the activation functio...

Informații despre carte

Autor

George A. Anastassiou

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2026

Pagini

776

EAN

9783032150455

Enbook ID

50043422

Editura

Springer, Berlin

Greutate

1351

Dimensiuni

155 x 235

Descriere completă

This book presents the new idea of going from the neural networks main tools, the activation functions, to convolution integrals and singular integrals approximations. That is the rare case of employing applied mathematics to treat theoretical ones.

Authors introduce and use also the symmetrized neural network operators able to achieve supersonic speeds of convergence.

Authors use a great variety of activation functions. Thus, in this book all presented is original work by the author given at a very general level to cover a maximum number of different kinds of Neural Networks: giving ordinary, fractional, and stochastic approximations. It is presented here univariate, fractional, and multivariate approximations. Iterated-sequential multi-layer approximations are also studied.