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小波神经网络程序，收敛性比BP神经网络好，可用于分类，函数逼近等-wavelet neural network program, convergence than BP neural network, and can be used for classification, function approximation etc.
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BP神经网络算法关于二元函数逼近拟合的matlab的程序-BP neural network algorithm for the binary function approximation fitting
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使用RBF神经网络实现函数逼近，逼近的函数为y(k)=u(k)^3+y(k-1)/(1+y(k-1)^2).通过对该程序的学习及实现可以更好的了解径向基神经网络的结构及算法-RBF neural network function approximation, the approximation of the function y (k) = u (k) ^ 3+y (k-1)/(1+y (k-1) ^ 2) through the program to learn and achieve mor
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使用matlab神经网络工具箱用bp网络实现函数逼近，学习BP网络-use matlab neural network toolbox with bp networks function approximation.
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建立一个径向基神经网络，对非线性函数y=sqrt(x)进行逼近，并作出网络的逼近误差-The establishment of a radial basis function neural network, the nonlinear function y = sqrt (x) to approximate, and make the network approximation error
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利用两层BP神经网络完成函数逼近。隐含层的激活函数取S型传输函数，输出层的激活函数取线性传输函数-Two layer BP neural network using function approximation. The S transfer function of the hidden layer activation function, the output layer activation function of linear transfer function
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Mackey-Glass时间序列预测建模问题，建立了四输入一输出、具有3层结构的MLP人工神经网络，实现了函数逼近的功能。-Mackey-Glass time series prediction modeling, the establishment of a four-input one output, with a 3-layer MLP artificial neural network architecture to achieve a function approximation fu
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