搜索资源列表
bp.pso.rar
- 标准BP神经网络算法程序：动量BP算法程序：％ 调用 TRAINGDX 算法训练 BP 网络 粒子群优化神经网络源程序,The standard BP neural network algorithm procedure: momentum BP algorithm procedure: TRAINGDX called BP network training algorithm particle swarm optimization neural network source code
PSOGABPDRNN.rar
- 此包含有遗传算法、粒子群算法、BP算法优化对角递归神经网络的MATLAB程序,This includes genetic algorithms, particle swarm optimization, BP algorithm for diagonal recurrent neural network of the MATLAB program
qpso
- 基于量子行为的粒子群算法的MATLAB的源程序，已测试可以用-Based on the quantum behavior of particle swarm optimization MATLAB source, have been tested can be! !
psobp
- 粒子群算法PSO优化BP神经网络的MATLAB代码 -PSO Particle Swarm Optimization of BP Neural Network MATLAB code
algorithms
- 我个人收集的各类智能算法，共有20多个源代码，包括：遗传算法，蚁群算法，粒子群算法，微分进化算法，遗传神经网络算法，粒子群SVM算法，粒子群神经网络算法等混合算法-I collect all kinds of intelligent algorithms, a total of more than 20 source code, including: genetic algorithms, ant colony optimization, particle swarm optimization,
Matlab
- 各类人工智能算法源代码哦，包括蚁群、粒子群、遗传、神经网络-The source code of various artificial intelligence algorithms Oh
pso-bp
- 这是一个采用粒子群算法优化bp神经网络权值的MATLAB程序-This is a particle swarm optimization using neural network weights bp MATLAB program
pso_wavelet
- 小波神经网络模型，采用粒子群算法优化，包含单输入、多输入-Wavelet neural network model, using particle swarm optimization, including single-input, multiple-input
GA_BP-pso_bp
- 遗传算法与神经网络混合的算法程序、粒子群优化与神经网络混合的算法程序，可以进行算法结果的比较-Genetic algorithm and neural network algorithm for mixed procedures, particle swarm optimization and neural network algorithm for mixed procedures, can be the result of comparison algorithm
psoRBF
- 粒子群优化算法优化RBF神经网络程序，可用在模式分类等方面-Particle swarm optimization algorithm optimization RBF neural network program can be used in pattern classification, etc.
pso
- pso(粒子群算法）优化神经网络 MATLAB的m 文件
psonn
- 粒子群算法优化神经网络,神经网络为传统的多层感知器。-pso optimizes neural networks. the neural networks are multilayer percetrons.
PSO-bp((matlab
- 实现粒子群算法优化BP神经网络的预测算法(Particle swarm optimization algorithm to optimize the BP neural network prediction algorithm)
MATAB神经网络30个案例分析
- 该PDF共有30个MATLAB神经网络的案例，包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络；还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。本PDF作为本科毕业设计、研究生项日设计、博士低年级课题设计参考书籍，同时对广大科研人员也有很高的参考价值。(The PDF has a total of 30 MATLAB in the case of neural networks, including BP, RBF, SVM
P5-2 PSO训练神经网络
- 通过粒子群算法训练神经网络，实现一个简单的人工智能算法(Training neural network through PSO)
基于alopex的粒子群算法
- 该算法通过基于Alopex的粒子群优化算法，结合神经网络计算，恰当地对所给数据进行聚类并进行拟合，从何达到了很好的分类和优化效果(Based on the Alopex particle swarm optimization algorithm and neural network calculation, the algorithm can properly cluster and fit the data, which can achieve a good classification an
粒子群优化算法（PSO）应用于神经网络优化程序
- 粒子群算法优化BP神经网络，使用matlab平台实现，解决了BP神经网络速度较慢的问题(Particle swarm optimization (PSO) optimization of BP neural network)
粒子群算法优化RBF网络
- 粒子群算法优化RBF网络，有相关解释，matlab源码！可以跑通(Particle swarm optimization RBF network, there are relevant explanations, matlab source code! You can run through.)
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
程序
- 粒子群算法优化的BP神经网络与传统BP神经网络对比(Comparison between BP neural network optimized by particle swarm optimization and traditional BP neural network)