资源列表
constrainpso
- 一个解决约束优化问题的算法,但是对一个测试函数无法达到全局最优.希望能加以改进并应用。-A solution algorithm for constrained optimization problems, but a test function can not reach the global optimum. Would like to be improved and applied.
particle
- 代码来自2008年数学建模东北赛区B题，原题描述http://www.ivanblog.cn/post/18.html 思想是用粒子群算法来实现相关问题的求解，编程语言是Ｃ＋＋。-Mathematical modeling code from the 2008 Northeast Division B title, original title describes http://www.ivanblog.cn/post/18.html thinking is to achieve parti
monituihuosuanfa
- 模拟退火进化算法，进化优化算法的一种，可以测试通过！-Simulated annealing evolutionary algorithm, an evolutionary optimization algorithm that can test!
mouhu
- 模糊神经网络源代码，自己编写的，请多指教-Fuzzy neural network source code, I have written, please enlighten
bbp
- 神经网络能有效的来训练数据，训练后的效果还很不错，使用Matlab编程的-Effective neural network to training data, training effect is still very good, using Matlab programming
002
- 人工鱼群算法是一种基于行为的人工智能思想,通过鱼在水里的行为方式模拟构建了一种鱼群模式,用来解决寻优问题-Artificial fish swarm algorithm is a behavior-based artificial intelligence thinking to build a fish model, simulate the behavior of fish in the water, used to solve the optimization problem
xibao
- 细胞自动机的，很好的-Cellular Automata and fine
SimulatedAnnealing
- 模拟退火算法解旅行商问题，读入的文件描述城市的位置，采用康立山等人的方法，能以较大的概率接触最优解-Simulated annealing algorithm traveling salesman problem, read the document describes the city s location, KANG Li-shan, who adopted the method, to a greater probability of exposure to the optimal sol
AVR_Ident
- AVR system using DF-AVR system using DFNN
Exam096
- K_均值算法 实现一种动态聚类法 迭代自组织数据分析算法-about dynamic clustering algorithm
Desktop
- 随着人们的生活不断提高，旅游已成为提高人们生活质量的重要活动，在旅游过程中，广大游客都希望找到最佳旅游线路。而旅游线路遇到的最直接的问题是景点的具体位置。比如九寨沟景区，里面的景点多达四十一个，怎样才能准确找到自己要去景点的位置，已经成为了亟待解决的关键问题。为此，九寨沟景区决定铺设空中缆车索道，让广大游客可以在最短的时间内游览更多的景点。-With the continuous improvement of people s life, tourism has become important
LPBoost
- LPBoost算法的C语言程序，LPBoost算法使用了线性规划的方法，可以在线性不可分的情况下仍获得较好的分类效果。-C language program for LPBoost algorithm , LPBoost algorithm uses a linear programming method cansolve the nonlinear case and obtain good classification results.