资源列表
tsp-ranee
- Hopfiled 实现TSP旅行商问题 CH
fisher
- 基于Fisher准则线性分类器设计，理解Fisher准则方法确定最佳线性分界面方法的原理，以及Lagrande乘子求解的原理。-Based on Fisher linear classifier design guidelines, understanding the criteria Fisher method to determine the best linear method of the principle of the interface, as well as solving La
ann2
- 这个程序是个神经网络提供学习能力的实例，是前一个simpleann的功能加强版。-this procedure is a neural network learning ability example is the former simpleann an enhanced version of the function.
Feature-Selection-(SVMs)
- Machine Learning Feature Selection (SVMs)
MultiAgentSystems
- 第13讲 智能Agent及多Agent系统 Chapter 13 Intelligent Agent & Multi-Agent Systems 徐从富 浙江大学人工智能研究所 -Article 13 stresses Intelligent Agent and Multi-Agent System Chapter 13 Intelligent Agent
BackPropagationAlgorithm
- Normalisation Program and Back propagation Neural network program and details of using the program.
spatialdata
- 通过对空间数据的分析，挖掘规律，模拟区域雨量分布预测-Analyze spatial data and it s law to simulate the distribution of the volume about rain.
floyd
- 每对顶点之间的最短路——Floyd BP网络图-The shortest path between each pair of vertices- Floyd
c++24
- 一个可自我学习的人工智能小模型，可进行训练，也可进行提问。
A-Star_4
- A-star 问题找到最短路径 结合了遇到障碍物问题。-A-star to find the shortest path with obstacles encountered problems.
bipso
- 围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.-particle swarm around the center of mass of the current PSO reinitialization. Thus,
ACA
- 蚁群算法，求解TSP问题。提供了多个经典的TSP路径-ant colony algorithm for TSP. For a number of classic TSP path