资源列表
youhua
- 采用遗传算法优化神经网络初试权值和阈值，从而得到最优适应度的初始权值和阈值，以达到优化网络预报精度的目的-Neural network using genetic algorithm to optimize the first test weights and thresholds to obtain the optimal fitness of the initial weights and thresholds in order to achieve the purpose of optim
SLAMsession
- 这个是SSSLAM2006提供的机器人定位与地图创建的算法，该程序主要应用EKF滤波算法，完成了机器人SLAM。-This is SSSLAM2006 provide robot localization and mapping algorithm, which is mainly applied EKF filtering algorithm, to complete a robot SLAM.
Robot12
- 机器人路径规划，c++编程解决路径规划 -Ant algorithms for the pathline
tsp_pso
- 蚁群算法解决tsp问题的研究，基本蚁群实现旅行商问题-Ant algorithms for the traveling salesman problem
hopfield
- MATLAB编写的神经网络中的hopfield算法，包括并行和串行。-NN HOPFIELD
Untitled
- RBF神经网络实现混沌预测 适用于初学者-RBF neural network prediction for beginners Chaos
BAM
- 神经网络BAM模型实现，很清晰，很全面，很基础-BAM neural network model to achieve, very clear, very comprehensive, very basic
ART1
- 神经网络ART1模型实现，很清晰，很基础，很全面-BP neural network model to achieve, very clear and basic
BOLTZMAN
- 神经网络BOLTZMAN模型实现，很清晰-Neural network model to achieve BOLTZMAN
psoo.py.tar
- particle swarm optimization python implementation
yichuansuanfa2
- 基于均匀两点交叉的 遗传算法能够更有效地搜索到问题的有效解。对于二 进制编码方法使用上面的两种交叉操作都能达到问题 的最优解,-Two crossover based on uniform genetic algorithm can more effectively search the solution to the problem effectively. For the binary coding method using the above two cross-operati
yichuansuanfa1
- 说明: fga.m 为遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Descr iption: fga.m main genetic algorithms binary Gray code, roulette method based on nonlinear ranking selection, uniform crossover and mutation, but also introduces the inver