搜索资源列表
GA-BP
- 遗传算法的BP神经网络优化算法，以获得较好的优化性能-Genetic algorithm and BP neural network optimization algorithm, to obtain better optimization performance
ga-bp-nonliner
- 遗传算法优化BP神经网——非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
GA-BP
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize the BP neural network- nonlinear function fitting
svm-ga
- SVM神经网络中的参数优化---利用SVM提升分类器性能，很好-Parameter optimization of SVM neural network--- SVM to enhance the performance of the classifier, good
BP-GA
- 实现遗传算法优化的神经网络进行时间序列的预测，genetic.m接口函数简单明了，神经网络参数直接修改，自己的数据文件直接更换load即可。-Genetic algorithm optimization neural network for time series prediction, genetic.m interface functions simple neural network parameters directly modify their own data files direc
GA-ANN
- 遗传算法优化神经网络，提高了神经网络的收敛速度和精度。-The genetic algorithm optimization neural network, to improve the speed and accuracy of the neural network convergence.
GA
- 神经网络遗传算法函数极值寻优-非线性函数极值 遗传算法典型实例-Neural network genetic algorithm function optimization extreme- typical examples of the non-linear function of the extreme genetic algorithm
GA
- 利用人工神经网络方法，对光谱数据组进行分析处理。-The use of artificial neural network method, the spectral data sets for analysis and processing.
GA-WNN
- 遗传算法优化的小波神经网络预测程序，对于建立预测模型有一定的帮助-Genetic algorithm optimization wavelet neural network prediction program, build predictive models for some help
GA
- 程序1：遗传算法和非线性规划函数的优化； 程序2：基于遗传算法的BP神经网络优化； 程序3：基于遗传算法的TSP算法； 程序4：基于遗传算法的LQR控制器优化设计 程序5：基于遗传算法的函数优化-Program 1: genetic algorithms and nonlinear programming function optimization Program 2: Based on the genetic algorithm BP neural network optim
ga
- In this paper, an attractive approach for teaching genetic algorithm has been presented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation, and selection. An advantage of using such an a
ga
- 神经网络优化权值和阀值和网络结构，值得一看，推荐-Neural network optimization weights and thresholds and the network structure, worth a visit, it is recommended
ga-bp
- 这是基于遗传算法的BP神经网络优化预测的程序，具有非常的意义-This is based on genetic algorithm to optimize BP neural network prediction program, with very meaning
GA-to-optimize-BP
- 本文档是使用遗传算法（GA）优化BP神经网络的编程实例，运行环境为matlab r2007b,内有注释-This document is the use of genetic algorithms (GA) to optimize BP neural network programming examples, the operating environment for matlab r2007b, there are notes
BP-GA
- 将遗传算法和BP神经网络算法结合起来组成优化算法，matlab编程-The genetic algorithm and BP neural network algorithm combines composition optimization algorithm, matlab programming
GA-BP
- GA—BP运用GA对BP神经网络进行训练，取得的最优解作为初始链接权值和阈值，以对BP神经网络局部搜索能力强、全局搜索能力差的缺点进行改进，来达到提高BP神经网络的性能的目的。-GA GA-BP using BP neural network is trained to obtain the optimal solution as the initial link weights and thresholds of BP neural network of local search abilit
Ga
- 遗传神经网络算法,基于C语言的开发环境，是一种基于遗传寻优的优化算法。-Genetic neural network algorithm, based on the C language development environment is a genetic optimization algorithm based optimization.
GA-and-BP
- 利用bp和ga网络对未来值进行预测，对输入数据进行归一化处理。-Use bp neural network to predict the future value of the input data normalization.
GA-to-optimize-BP
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize the BP neural network to nonlinear function fitting
GA-and-BP
- 遗传算法和神经网络结合的案例，用于非线性规划优化。-Genetic algorithms and neural network case for nonlinear programming optimization