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内容包括:解线性代数方程组,插值,数值积分,特殊函数,函数逼近,特征值问题,数据拟合,方程求根和非线性方程组求解-VB -Include: solving linear algebraic equations, interpolation, numerical integration, special functions, function approximation, eigenvalue problem, the data fit the equation and non-linear eq
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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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移动最小二乘法形函数，形函数一阶导数，二阶导数-SHAPE FUNCTION OF 1D MLS APPROXIMATION
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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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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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