Titlebook: An Introduction to Neural Network Methods for Differential Equations; Neha Yadav,Anupam Yadav,Manoj Kumar Book 2015 The Author(s) 2015 Cel

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書目名稱An Introduction to Neural Network Methods for Differential Equations影響因子(影響力)




書目名稱An Introduction to Neural Network Methods for Differential Equations影響因子(影響力)學(xué)科排名




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書目名稱An Introduction to Neural Network Methods for Differential Equations被引頻次學(xué)科排名




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書目名稱An Introduction to Neural Network Methods for Differential Equations讀者反饋學(xué)科排名

Popcorn

vector

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

性別

GIST

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.

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兵團(tuán)

escalate

Gentry

Indigence

Abg?nge aus Gerbereien und Lederf?rbereienn 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