搜索资源列表
bp_win32
- BPN 網絡演算这是用VCwin32编写的用遗传算法优化神经网络的程序-Error Back-propagation Training Algorithm
geneticalgorithmoptimizationneuralnetwork
- 这个程序是首先使用遗传算法优化神经网络权值和阈值，然后学习神经网络计算。参数的值有些可以根据需要进行修改。神经网络结构是一个简单的三层架构，可根据增加的情况下隐藏层，相应的修改程序。-This program is the first to use genetic algorithm optimization neural network weights and thresholds, then the learning neural network computing. Some of the
gaot
- 遗传算法工具箱,可以直接调用该工具箱对各种神经网络进行优化处理，方便快捷-Genetic Algorithm Toolbox, you can directly call the toolbox of various neural network optimization, convenient and quick
agentga
- 关于多智能体遗传算法优化神经网络的MATLAB程序-On multi-agent genetic algorithm to optimize the MATLAB neural network program
Genetic-algorithm-
- 遗传算法优化神经网络程序-Genetic algorithm optimization neural network program-Genetic algorithm optimization neural network program
ga_bp
- 遗传算法优化神经网络在数据预测方面的应用-The genetic algorithm optimization neural network data to predict
BP-GA
- 一种实现话务预测预测算法，基于遗传算法优化神经网络，源码+数据，效果很好-A traffic forecast prediction algorithm based on genetic algorithm optimization neural network source+ data, the effect is very good
main
- 遗传算法优化BP神经网络采用遗传算法优化神经网络的权值和阈值。-nerual network
intelligent-optimization-algorithms
- 几种最新智能优化算法的改进与应用的源代码，包括人工蚁群、遗传算法优化神经网络-Several of the latest intelligent optimization algorithm improvement and application source code, including artificial ant colony, genetic algorithm optimization of neural networks, etc.
遗传算法优化BP神经网络-非线性函数拟合
- 进行非线性函数拟合且用遗传算法对BP神经网络进行优化(The nonlinear function is fitted and the BP neural network is optimized by genetic algorithm)
MATLAB遗传算法
- 遗传算法和非线性规划的函数寻优，BP神经网络优化(Genetic algorithm and nonlinear programming function optimization, BP neural network optimization)
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)
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.)
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.)
chapter4
- 用遗传算法优化BP神经网络，并进行结果预测的操作(Optimization of BP by genetic algorithm)
基于遗传算法的BP算法
- 基于遗传算法的BP神经网络优化算法的经典实例。(An example of BP neural network algorithm)
基于遗传算法优化BP神经网络的非线性预测
- 针对BP神经网络的初始权值和阈值是随机选取的弊端，采用遗传算法寻优BP的初始权值和阈值，然后进行BP训练和测试。遗传算法包括编码 选择 交叉 和变异等操作(Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to optimize the initial weights and
遗传算法优化BP网络(用于电力负荷预测预测）
- 遗传算法改进的bp神经网络精准预测符合数据(Precision prediction coincidence data of BP neural network improved by genetic algorithm)
GABP
- GABP，遗传算法优化神经网络（BP)进行预测 ，优化前后对比，可套用在其它模型。(GABP, genetic algorithm optimization neural network (BP) for prediction, optimization before and after comparison, can be applied to other models.)
神经网络入门13课源码
- 神经网络入门13课源码 第一课 MATLAB入门基础 第二课 MATLAB进阶与提高 第三课 BP神经网络 第四课 RBF、GRNN和PNN神经网络 第五课 竞争神经网络与SOM神经网络 第六课 支持向量机( Support Vector Machine, SVM ) 第七课 极限学习机( Extreme Learning Machine, ELM ) 第八课 决策树与随机森林 第九课 遗传算法( Genetic Algorithm, GA ) 第十课 粒子群优化( Part