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C/C++]
lightweightbackpropagationneuralnetwork.rar
... in applications that* just happen to need a simply neural network and do not want to use* needlessly ... network libraries. It features multilayer* feedforward perceptron neural networks, sigmoidal activation function* with bias, backpropagation training with ...
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AI-NN-PR Upload User：
xfl2008899 Size：
29K
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C/C++]
neuralnetworkutility.rar
... Networks library for theC++ Programmer. It is entirely object oriented and focuseson reducing tedious and confusing problems of programming neural networks.By this I mean that network layers are easily defined. Anentire multi-layer network can be created ...
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AI-NN-PR Upload User：
jacksonled Size：
14K
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C/C++]
aine.rar
a demonstration of the principle of neural network code, easy for beginners to learn.
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AI-NN-PR Upload User：
coming369 Size：
25K
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Matlab]
kpredict.rar
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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matlab Upload User：
ssp7654321 Size：
2K
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Matlab]
marq.rar
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 ...
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AI-NN-PR Upload User：
eorr0514 Size：
4K
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Matlab]
nnprune.rar
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.
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matlab Upload User：
szyxt01 Size：
5K
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Matlab]
rpe.rar
Train a two layer neural network with a recursive prediction error algorithm ( recursive Gauss-Newton ). Also pruned (ie, not fully connected) networks can be trained. The activation functions can either be linear or tanh. The network architecture is ...
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matlab Upload User：
ledhuaqing Size：
3K
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