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人工智能/神经网络 neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object o

neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object oriented and focuses on reducing tedious and confusing problems of programming neural networks. By this I mean that network layers are easily defined. An entire multi-layer network can be created in a f ...
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人工智能/神经网络 neural network 一个演示原理的代码

neural network 一个演示原理的代码,便于初学者学习。
https://www.eeworm.com/dl/650/380488.html
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matlab例程 the load forecast based on Neural Networks,use the MATLAB

the load forecast based on Neural Networks,use the MATLAB
https://www.eeworm.com/dl/665/381679.html
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matlab例程 k-step ahead predictions determined by simulation of the % one-step ahead neural network predictor.

k-step ahead predictions determined by simulation of the % one-step ahead neural network predictor. For NNARMAX % models the residuals are set to zero when calculating the % predictions. The predictions are compared to the observed output. %
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人工智能/神经网络 % Train a two layer neural network with the Levenberg-Marquardt % method. % % If desired, it is p

% Train a two layer neural network with the Levenberg-Marquardt % method. % % If desired, it is possible to use regularization by % weight decay. Also pruned (ie. not fully connected) networks can % be trained. % % Given a set of corresponding input-output pairs and an initial % network, % ...
https://www.eeworm.com/dl/650/384092.html
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matlab例程 This function applies the Optimal Brain Surgeon (OBS) strategy for % pruning neural network models

This function applies the Optimal Brain Surgeon (OBS) strategy for % pruning neural network models of dynamic systems. That is networks % trained by NNARX, NNOE, NNARMAX1, NNARMAX2, or their recursive % counterparts.
https://www.eeworm.com/dl/665/384105.html
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matlab例程 Train a two layer neural network with a recursive prediction error % algorithm ("recursive Gauss-Ne

Train a two layer neural network with a recursive prediction error % algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully % connected) networks can be trained. % % The activation functions can either be linear or tanh. The network % architecture is defined by the matrix NetDef , w ...
https://www.eeworm.com/dl/665/384109.html
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人工智能/神经网络 hopfield neural network

hopfield neural network
https://www.eeworm.com/dl/650/390525.html
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人工智能/神经网络 《神经网络设计》(neural networks design)的源代码

《神经网络设计》(neural networks design)的源代码
https://www.eeworm.com/dl/650/390840.html
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数学计算 Kalman Filtering and Neural Networks - Simon Haykin 原来网上的文件缺少第五章

Kalman Filtering and Neural Networks - Simon Haykin 原来网上的文件缺少第五章,这个完整版,欢迎下载,英文牛B的人可以翻译好后,再上传,谢谢!
https://www.eeworm.com/dl/641/399038.html
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