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Details for: Anastassiou G. AI Mathematics. Advanced Neural Network Approximation 2026

anastassiou g ai mathematics advanced neural network approximation 2026

Type:: E-books
Files:: 1
Size:: 10.4 MB
Uploaded On:: March 29, 2026, 8:48 a.m.
Added By:: andryold1
Seeders:: 6
Leechers:: 6
Info Hash:: 8BED5AAB5B0EA263E0AF0BD9AF78169FDFF8FBF8

Textbook in PDF format 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

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Anastassiou G. AI Mathematics. Advanced Neural Network Approximation 2026.pdf 10.4 MB

Details for: Anastassiou G. AI Mathematics. Advanced Neural Network Approximation 2026

anastassiou g ai mathematics advanced neural network approximation 2026

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