资源列表
47168452GA-bp
- 一个遗传算法优化神经网络权值的实例，包含了GA工具箱，和说明文档--a genetic algorithm to optimize the weights of the neural network examples include GA toolbox, and documentation.
A-PSO-Based-Algorithm
- 改进粒子群算法在多目标优化问题中的应用，国外文献，具有一定的参考价值。-Improved particle swarm optimization in multi-objective optimization problem, foreign literature, with some reference value
pso-rbf
- 本文描述了粒子群算法与rbf神经网络相结合的应用，描述新颖，是一片不错的论文。-This paper describes the combination of the application of particle swarm optimization and rbf neural network, describe the novel, is a good paper.
Mg17_ESN
- 用MG混沌时间预测序列训练和测试由1000单位组成的ESN网络的Matlab文件-This directory contains Matlab files used for training and testing 1000-unit ESN networks on the MG attractor (tau = 17)
Genetic-algorithm
- 此段程序是一套完整的设计程序（包括拓扑图、分析表），运用遗传算法优化解决路径规划问题。-The procedures of this section is a complete set of design procedures (including topology, analysis, table), the use of genetic algorithm optimization to solve the path planning problem.
GAPBP
- 遗传算法优化的BP神经网络C源程序，可供参看。-BP neural network optimized by genetic algorithm C source code, available to see.
fuzzyPID_cpp
- fuzzy pid 模糊控制代码 模糊PID控制，参数自整定。纯C语言。 无注释-fuzzy pid control, C/C++
ga
- 本代码是利用遗传算法解决简单的JOB—SHOP型的生产调度问题。代码简单，且已经过调试，可以正常运行，C++及遗传算法的初学者可以参考！-This code is the JOB-SHOP-type production scheduling problems using genetic algorithms to solve simple. Simple code, and have been debugging the normal operation of OK, C and Geneti
MyACOADlgToTSP_V1.0
- 蚁群优化算法解TSP问题 有对话框可以直接绘制城市路径图-Ant Colony Optimition Algorithm solving the TSP problem
dct_bp
- 结合DCT和BP神经网络进行人脸识别。先利用DCT提取特征，然后利用BP神经网络分类，在ORL人脸库上测试效果不错。-The combination of DCT and BP neural network for face recognition. First DCT Feature Extraction, and then use the BP neural network classifier, a good test results on the ORL face database.
ant-matlab
- 蚁群算法解决TSP问题的源程序,更新信息素方面有所创新-Ant colony algorithm of solving TSP source program, update the pheromones have innovation
robot-yanjiu
- 机器博弈研究报告,初学机器博弈的朋友可以好好看看，内容不错-Machine game research report, beginner machine game friends can take a good look, good content