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sample2
- 非线性映射能力：BP神经网络实质上实现了一个从输入到输出的映射功能，数学理论证明三层的神经网络就能够以任意精度逼近任何非线性连续函数。这使得其特别适合于求解内部机制复杂的问题，即BP神经网络具有较强的非线性映射能力-Nonlinear mapping ability: BP neural network essentially implements a mapping from input to output function, the mathematical proof of the thr
sample6
- 非线性映射能力：BP神经网络实质上实现了一个从输入到输出的映射功能，数学理论证明三层的神经网络就能够以任意精度逼近任何非线性连续函数。这使得其特别适合于求解内部机制复杂的问题，即BP神经网络具有较强的非线性映射能力-Nonlinear mapping ability: BP neural network essentially implements a mapping from input to output function, the mathematical proof of the thr
BPreg
- 用BP神经网络实现二参数非线性函数拟合，使用了两种改进方法，且有图形对比。-BP neural network with two parameters of nonlinear function approximation, using two improved methods, and there is a graphical comparison.
BP1111
- bp神经网络的数据分类-语音特征信号分类 bp神经网络的非线性系统建模-非线性函数的拟合-Linear systems neural network modeling of nonlinear systems, according to the classification of BP neural network genetic algorithm to optimize BP neural network
GA_BP
- 用遗传算法优化BP神经网络进行非线性函数拟合，程序中还编写出了单纯BP的预测函数，以及BP和GA_BP的预测误差输出程序。-using genetic algorithms optimizated BP neural network，he program has also prepared a simple BP s prediction function, as well as BP and GA_BP prediction error output of the program.
nolinear
- bp神经网络的非线性系统建模————非线性函数拟合-nonlinear system modeling bp neural network nonlinear function fitting
BPnet
- 采用BP神经网络的方法，通过大量样本训练来逼近某种非线性函数-functional approximation for nonlinear function using BP net
BP_forecast
- 利用BP神经网络对非线性函数拟合，从而进行预测-BP neural network nonlinear function fitting and thus to predict
BP_GA_optimal
- 应用遗传算法，基于BP神经网络的非线性函数极值寻优程序-Application of genetic algorithms, non-linear function BP neural network optimization procedures based on extreme
ann2w
- matlab的BP神经网络的非线性函数拟合代码-nonlinear function of BP neural network matlab fitting Code
Nonlinear-function-fitting
- 关于BP神经网络算法非线性建模方法-非线性函数拟合-Nonlinear System Modeling BP neural network- a nonlinear function fitting
chapter2
- 熟练运用BP神经网络，并对非线性函数进行拟合-Skilled use of BP neural network, and the non-linear function fitting
GA-BP
- 神经网络遗传算法用于非线性函数的极值寻优matlab代码-Extreme Optimization matlab code of neural network genetic algorithm for nonlinear function
pationtion
- matlab BP神经网络 预测非线性系统建模 非线性函数拟合-BP matlab neural network forecasting nonlinear system modeling nonlinear function fitting
function-approximation
- 利用BP神经网络对非线性函数进行逼近，逼近的函数为三角函数。-By using BP neural network to realize the function approximation, the approximation function is a trigonometric function.
9GAP
- 使用BP算法逼近非线性函数，没有使用神经网络工具箱，适合初学者。-Using BP neural network approximation of nonlinear function, there is no use of neural network toolbox, suitable for beginners.
chapter4_matlab_4
- 根据BP神经网络理论和遗传算法，在MATLAB中编程实现神经网络的非线性函数寻优。-According to BP neural network theory and genetic algorithm, nonlinear functions in MATLAB programming neural network optimization.
BP_code
- BP神经网络的应用的Matlab程序：数据分类、非线性系统建模、函数极值寻优。-The application of BP neural network of Matlab program, data classification optimization extreme nonlinear system modeling function
bp_fxxbj
- 采用bp神经网络对非线性函数的拟合：2输入1输出的非线性函数拟合，不适应matlab自带的函数功能。-Bp neural network using nonlinear fitting function: two inputs and one output nonlinear function fitting, suited matlab comes Function.
nonlinear-system-modeling
- 基于BP神经网络的非线性系统建模-非线性函数拟合，本案例拟合的非线性函数为y x1的平方+x2的平方。-The nonlinear system modeling based on BP neural network to nonlinear function fitting