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多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial
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一个用MATLAB实现的多层感知器-a MATLAB the multilayer perceptron.
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人工神经网络，多层感知器，C++源代码，可在文本中读写数据。,Artificial neural network, multilayer perceptron, C++ source code, can read and write data in the text.
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基于MATLAB的多层感知器神经网络BP算法的源程序-MATLAB-based multilayer perceptron neural network algorithm source code
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采用单神经元结构对两类样本进行分类，其中X为输入样本，T为目标向量。X=[-0.5,-0.5,0.3,0.1,-0.1,0.8,0.2,0.3 0.3,-0.2,-0.6,0.1,-0.5,1.0,0.3,0.9]
T=[0,0,0,1,0,1,1,1]- The self learning function of the multilayer perceptron of an artificial neural network can be easily realized by the
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A new technique basedon the multilayer perceptron
(MLP)neural network is proposed for blocking-artifact removal
inblock-coded images.The new method is basedon the concept
of learning by examples.
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Multilayer Perceptron (MLP) in c# language
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Multilayer Perceptron
Example
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Multilayer perceptron for tanker ship heading regulation
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multilayer perceptron network
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training multilayer perceptron network
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regularization multilayer perceptron network
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demo multilayer perceptron network
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multilayer perceptron sample
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Multilayer Perceptron
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Letter recognition with Multilayer Perceptron.
It learns 10 first letters and then tries to recognize drawn symbol.
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This code describes to implement multilayer perceptron algorithm.
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in this project we use the neural network to segment textured image using a multilayer perceptron.
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Multilayer Perceptron for Tanker Ship Heading Regulation
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system identification using multilayer perceptron a
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