资源列表
genetic_algorithm-Solve-the-TSP-problem
- 基于遗传算法的50个城市TSP问题的求解，可推广至类似NP-hard问题。-Genetic Algorithm Based on 50 cities TSP problem solving can be extended to a similar NP-hard problem.
paperAPF
- 大量的应用势场原理的科技文章。可以帮助您迅速掌握先进的人工势场法在移动机器人路径规划中的应用与研究状况。-A large number of potential field of application of the principle of scientific articles. Can help you quickly master the art of the artificial potential field method in mobile robot path planning
rl_cmac
- 强化学习算法。通过cmac神经网络实现强化学习状态空间到动作空间的映射。-Reinforcement learning algorithm. Cmac neural networks through the reinforcement learning state-space to the action of the mapping space.
python
- libsvm在Python下的源代码，可以在Pyhon下直接运行，功能强大-under the libsvm in Python source code, can be run directly Pyhon powerful
BPNet
- 改进神经网络用于电价预测，实例说明，数据和程序齐全。-Improve the neural network used for price forecasting, examples, data and complete the procedure.
BP_neural_network_source_code
- BP神经网络源程序（程序是在VC++6.0环境下编译的，在低版本编译可能会出现错误！） 程序文件说明： 1、界面程序：wuzhou11.* 2、BP神经网络训练程序：LearnDlg.* 3、BP神经网络预报程序：ForecastDlg.* 4、BP神经网络说明程序：text.txt 5、测试范例：ldlqw11.* .nna 训练样本文件 .nnb 测试文件 .par 训练控制参数 .nnr 训练误差文件 .out 测试结果文件 .wgt 网络
43680540Classification-MatLab-Toolbox
- 利用人工智能算法对数据进行训练，然后模式分类，里面包含支持向量机，聚类，BP网络等许多优秀的算法-The use of artificial intelligence algorithm to training data, and then pattern classification, which includes support vector machines, clustering, BP network algorithm and many other outstanding
PSO_vb
- 这是本人的毕业设计，用vb实现基于pso算法的文档聚类算法-This is my graduation project using vb algorithms pso-based Document Clustering Algorithm
fuzzy Enchance
- 用matlab 实现的图像模糊增强，其中包括模糊化和去模糊化，对图像很好的处理-The realization of the image using matlab fuzzy enhancement, including defuzzification and fuzzy and good image processing
ClusterEnsembleV10
- Alexander Strehl的CLUSTER ENSEMBLE算法----------------------------------------------------------------------- CLUSTERENSEMBLE README Alexander Strehl Version 1.0 2002-04-20 -------------------------------------------------------------------
AStar
- 目前最好的A*寻路算法-Currently the best A* pathfinding algorithm. . . . . . . . .
BpTRAINING
- 自适应步长BP神经网络训练算法，采用最小误差和梯度下降法更新权值- BP neural network training anaysis， realized by using error feed back, gradient descent applied updating of synaptic weights