FLAW 发表于 2025-3-21 18:09:17

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Popcorn 发表于 2025-3-21 21:53:29

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vector 发表于 2025-3-22 01:30:48

Preliminaries of Neural Networks,etwork in terms of activation functions. Different architectures of neural network like feed forward, feed backward, radial basis function network, multilayer perceptron neural network and cellular network etc., is described. Backpropagation and other training algorithms have been also discussed in

性别 发表于 2025-3-22 04:36:41

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GIST 发表于 2025-3-22 10:56:38

Preliminaries of Neural Networks,etwork in terms of activation functions. Different architectures of neural network like feed forward, feed backward, radial basis function network, multilayer perceptron neural network and cellular network etc., is described. Backpropagation and other training algorithms have been also discussed in this chapter.

咽下 发表于 2025-3-22 14:45:04

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兵团 发表于 2025-3-22 20:10:28

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escalate 发表于 2025-3-22 21:28:53

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Gentry 发表于 2025-3-23 02:13:00

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Indigence 发表于 2025-3-23 06:26:41

Abgänge aus Gerbereien und Lederfärbereienn equation which involves the derivatives of an unknown function represented by a dependent variable. It expresses the relationship involving the rates of change of continuously changing quantities modeled by functions and are used whenever a rate of change (derivative) is known. A brief introductio
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查看完整版本: Titlebook: An Introduction to Neural Network Methods for Differential Equations; Neha Yadav,Anupam Yadav,Manoj Kumar Book 2015 The Author(s) 2015 Cel