搜索资源列表
GA-bp
- 这是用matlab编写的用遗传算法优化神经网络的程序-using Matlab is prepared by using genetic algorithm optimization procedures for neural networks
GAOTPID
- 介绍有关GA遗传算法结合BP神经网络的经典文章及应用-introduced the GA GA BP neural network and application classic article
bp
- 用GA先求BP网络的权重,再用纯BP直接训练BP的混合GA-BP算法
GA-BP
- 本书中所附源程序C或C++代码文件及其可执行文件 Scs.cpp 基本分类算法源程序, 输入数据文件cfile.txt,efile.txt,gfile.txt,pfile.txt ,rfile.txt,tfile.txt Sga.c 基本遗传算法源程序, 输入数据文件input,输出文件output A_life.c 基于遗传算法的人工生命模拟源程序, 输入数据文件world GA_nn.c 基于遗传算法优化神经网络结构源程序,输入数据文件sample
ga_bp
- 转载的遗传算法优化bp网络,运行结果还行。但愿有用。(Reproduced genetic algorithm to optimize the bp network, running the results okay. Hopefully useful.)
38430124GA_BP-pso_bp
- 这是一种遗传算法和BP网络结合的算法,粒子群和BP网络,这两种算法进行结果比对。(This is a genetic algorithm and BP network combination algorithm, particle swarm and BP network, the two algorithms for results comparison.)
GA优化BP神经网络
- 该程序利用遗传算法,优化神经网络结构,是MATLAB源代码。(The neural network structure is optimized by genetic algorithm)
GA优化BP权阈值
- 遗传算法优化BP权值,这是关于基本GA算法和改进GA算法的程序,包括循序选择GA,大变异GA,自适应GA等(Genetic algorithm optimization BP weights, which is about the basic GA algorithm and improved GA algorithm procedures, including sequential selection of GA, big variation GA, adaptive GA and so on
chapter3基于遗传算法的BP神经网络优化算法
- 用遗传算法去优化BP神经网络,使控制更加精准(Genetic algorithm is used to optimize BP neural network)
GA-BP
- 算法基本要素: 1.染色体编码方法 2.适应度函数 3.遗传操作—-(选择、交叉、变异) 4.运行参数—(参数:群体大小M、遗传代数G、交叉概率Pc和变异概率Pm)(Basic elements of algorithm: 1. chromosome coding method 2. fitness function 3. - the genetic operation (selection, crossover and mutation) 4. operating pa
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)
GA-BP
- 遗传算法优化神经网络,可以增加精度,避免陷入局部极小值(BP neural network optimized by genetic algorithm)
New_GA-BP
- 第一步:运行BP_CCPP.m 得到并保存传统BP预测,初始权值和阈值w1_BP(w1 B1 w2 B2),BP网络(BP_net),和结果。 第二部:运行GABP_CCPP.m 得到并保存GABP预测,初始权值和阈值(x),优化后的权值和阈值w1_GABP(w1 B1 w2 B2),BP网络(GA_BP_net),和结果。 第三部:运行sum_BP.m 用第一步和第二部得到的网络分别预测,得到结果对比和图形。 第四部:运行WB.m
GA_Bp
- 利用Maltab脚本M语言,使用GA遗传算法优化BP神经网络阈值,文件包括:ga_bp和gaot工具箱,首先在maltab中利用setpath设置加载gaot工具箱,然后在ga_bp文件夹下运行!(Using Maltab scr ipt M language, we use GA genetic algorithm to optimize BP neural network threshold. The files include ga_bp and GAOT toolbox. First,
GA
- 由BP神经网络的初始种群,然后基于MATLAB工具箱实现遗传算法优化方案,(The initial population of BP neural network is implemented, and then the genetic algorithm optimization scheme is implemented based on the MATLAB toolbox.)
BP神经网络python简单实现
- 去掉神经元类,把功能合并入NetLayer类中,使用矩阵计算加快速度 调整代码实现批量训练方法。 优化程序中numpy库运算顺序,避免产生中间变量(Remove neuron classes, merge functions into NetLayer classes, and use matrix to calculate speed.)
GA-BP汇总大全(含详细教程代码和论文)
- 文中包含利用遗传算法进行优化的梯度下降神经网络的代码和教程,内容非常丰富,包含可以直接运行的代码和相关重要参考文献论文,可帮助理解,属于很综合的优秀资料,个人现分享出来供大家学习,谢谢!(This article contains the code and tutorial of gradient descent neural network optimized by genetic algorithm. The content is very rich, including the code
遗传算法优化BP神经网络
- GA算法优化BP神经网络的初始权值和阈值,提高神经网络的鲁棒性(GA algorithm optimizes the initial weights and thresholds of BP neural network to improve the robustness of neural network)
GA & PSO+BP
- 遗传算法与粒子群算法优化BP,有较好的分类效果(BP optimization based on Genetic Algorithm and particle swarm optimization)
GA-BP及PSO-BP
- 主要是通过GA和PSO的全局搜索能力,用于改进BP网络的权值阈值(It is mainly used to improve the weight threshold of BP network)