搜索资源列表
BPneuralnetwork
- 简单的BP人工神经网络拟合算法，能够通过循环自动确定参数。-Simple BP artificial neural network fitting algorithm can automatically determine the parameters through the loop.
4.2
- 用人工神经网络拟合函数 说明：1）网络结构为三层（输入层、1个隐层和输出层） 2）获取两组数据，一组作为训练集，一组作为测试集 3）用训练集训练网络 4）用测试集检验训练结果-ANN fit function: 1) the network structure is three (input layer, a hidden layer and output layer) 2) to obtain two sets of data, one group as the
main
- BP神经网络拟合多峰函数示例，仅供新手学习使用-BP neural network function fitting multimodal example, only for the novice learning to use
chapter2
- BP神经网络的非线性系统建模的非线性函数拟合(Nonlinear Function Fitting of Nonlinear System Modeling of BP Neural Network)
GA_BP
- 用遗传算法优化BP神经网络，得到跟精确训练的网络，更加准确的进行拟合，校正，样本预测。(The BP neural network is optimized by genetic algorithm, and the network with accurate training is more accurate, fitting, correcting and forecasting samples.)
chapter2
- BP神经网络的非线性系统建模——非线性函数拟合(Nonlinear system modeling of BP neural networks -- nonlinear function fitting)
chapter3
- 遗传算法优化BP神经网络——非线性函数拟合(Nonlinear system modeling of BP neural networks -- nonlinear function fitting)
BP_NN
- 该程序是神经网络算法中使用NN方法计算拟合曲线的代码，可用以一般地输出拟合、输出估计。(The program is neural network algorithm using NN method to calculate the fitting curve of the code, can be used in general output, fitting, output estimation.)
案例3 遗传算法优化BP神经网络-非线性函数拟合
- 遗传算法优化BP神经网络-对非线性函数拟合.(Genetic algorithm optimization BP neural network - nonlinear function fitting)
径向基
- 在神经网络中使用径向基算法进行对函数拟合(Radial basis function fitting)
BP Neural Network
- BP神经网络的非线性系统建模-非线性函数拟合(Nonlinear system modeling based on BP neural network)
GA-BPNN
- 遗传算法优化BP神经网络-非线性函数拟合(BP neural network optimized by genetic algorithm for nonlinear function fitting)
遗传算法优化BP神经网络用于非线性函数拟合
- 遗传算法优化的bp神经网络用于非线性函数的拟合。(BP neural network optimized by genetic algorithm for nonlinear function fitting.)
function fitting
- Bp\感知器\SVM\RBF的神经网络函数拟合程序，其中大部分都是一维输入一维输出，特别适合刚入门的学习者。(These Program were BP\PERCEPTION\rbf\svm function fitting used matlab)
1-BP_work
- matlab实现BP神经网络进行拟合和预测(Matlab implementation of BP neural network for fitting and prediction)
2-GRNN_PNN_work
- GRNN和PNN神经网络对数据的拟合、训练和二者对比(Data training of GRNN and PNN and comparison of the two)
3-Competitive neural network
- 竞争神经网络的matlab实现，对一组数据进行拟合和训练，得出精度(The matlab implementation of the competitive neural network, fitting and training a set of data to get the accuracy)
GRNN1
- 本代码利用建立广义神经网络可用来进行拟合和预测(This code applies to forecasting)
案例3
- 遗传算法优化BP神经网络，对非线性函数进行拟合。(The genetic algorithm optimizes the BP neural network to fit the nonlinear function.)
案例2
- BP神经网络的非线性系统建模，对非线性函数进行拟合。(Nonlinear system modeling of BP neural network)