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类神经网路BPN倒传递网路，之C语言源码-7.82 neural network back-propagation network of C language source code
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bp神经网络算法是解决最优化问题的先进算法之一，本论文讨论了神经网络中使用最为广泛的前馈神经网络。其网络权值学习算法中影响最大的就是误差反向传播算法（back-propagation简称BP算法）。BP算法存在局部极小点，收敛速度慢等缺点。基于优化理论的Levenberg-Marquardt算法忽略了二阶项。该文讨论当误差不为零或者不为线性函数即二阶项S(W)不能忽略时的Hesse矩阵的近似计算，进而训练网络。
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This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back propagation training method.
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This program is prepared as an one-step EEG predictor. this is used a fuzzy neural network which is trained by a chaotic back propagation method
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This program simulates a 3 or 4-layer Neural Network, and can be used to
simulate an arbitrary, complex, or non-linear function that would be
difficult to implement by traditional methods. The Back Propagation
method is used "teach" the net
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Neural Network program with back propagation in visual basic
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neural network back-progate to solve xor question,
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Isolated speech recognition using FFT for features extraction and Artificial Neural Network with Back Propagation for classificassion and recognition.
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This is my implementation fo back propagation algorithm for artificial neural network using C-This is my implementation fo back propagation algorithm for artificial neural network using C++
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Back Propagation Algorithm in Neural Network.
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Back Propagation Algorithm Improvement Methods in Neural Network.
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Back Propagation Replacement Algorithms (LM & CG) in Neural Network.
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artificial neural network, simple multi layer back propagation training algorithm with tan-sigmoid as the activation function.
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神经网络训练的经验总结，使用错误反向传播的经验指导。-Neural network training experience, the experience of using the error back propagation guidance.
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this code in used in neural network mlp with back propagation training algorithm and geradian descends algorithm for optimization.in some of this codes I used full propagation algorithm or mlp one layer or two layer with different activation function
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this code is about mlp 1 layer neural network with back propagation training algorithm by using geradient descence for nonlinear system. input data are random.-this code is about mlp 1 layer neural network with back propagation training algorithm by
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Matlab coding for Image compression and decompression usning neural network back propagation techniques
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利用類神經網路對Schwefel22測試函數建立模型，為此Schwefel22函數設立4個變數，模擬資料100筆，測試資料50筆，並將上述資料以倒傳遞類神經網路MATLAB2013a軟體，利用其具有學習及記憶能力加以訓練及測試-The use of neural network modeling of Schwefel22 test functions, established for this purpose Schwefel22 function four variables, simula
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neural network back propagation
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The following Matlab project contains the source code and Matlab examples used for neural network programs. Perceptron LMS Feed Forward Back Propagation Character Recognition
The source code and files included in this project are listed in the proj
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