资源列表
chap4_7f2
- 基于神经网络的PID参数整定! 可以做为学习之用!-Based on neural network PID parameter tuning! Can be used as learning!
ClusteringAlgorithmsResearch
- 一篇较为经典的聚类算法综述文献,发表于软件学报！值得研究数据分析的入门者参考！-A clustering algorithm is more classical Review of literature, published in the Journal of Software! Data analysis is worth studying the entry reference!
RobustClusterValidityIndexes
- 聚类中的难点在于确定类别个数，本文献是一篇较为经典的相关研究成果！值得拜读！-Clustering is to determine the type of the number of difficulties, the classic literature is a more relevant research results! Worth reading!
hamilton
- 哈密尔顿回路包括模拟退火及其他即运用哈密尔顿解决问题-hamilton
Dataanalysiswithfuzzyclusteringmethods
- 一篇研究非常充分，相关问题阐述非常清楚的有关聚类分析的期刊论文！-A study is very full and very clear on the issues related to cluster analysis of the relevant journal articles!
CSChallanges07PRScience
- 一篇有关模式识别的07年综述文献！作者是该领域国际有名的大学者！-An article on the pattern recognition literature overview in 2007! The author is in the field of world-renowned scholar!
SummerizationOfMachineLearning
- 机器学习中集成学习越来越受到人们的关注，这是一篇较为全面的有关集成学习的综述性文献！尤其值得入门者阅读！-Integration of machine learning to learn more and more attention, this is a more comprehensive overview of the integrated study of literature! Particularly beginners to read!
Navigation
- 机器人全方位摄像机导航。捕获红色信息，并输出旋转角度和方向-Omnidirectional camera robot navigation. Red information capture and output and direction of rotation
recursiveDPKnapsack
- 用vc++6编写的程序，采用动态规划递归算法，解决背包问题。-Vc++6 with the preparation of the procedures, the use of dynamic programming recursive algorithm to solve knapsack problem.
Carfire
- 灭火机器人比赛要求 ①在迷宫中找到火源：必须确认进入火焰圆弧的30cm区域，而不能是碰巧经过火焰区域。 ②做出灭火动作：必须在进入火焰区域后方有效，可以是风扇转动，喷出灭火物质等。 ③将火扑灭：保证完成前两项动作基础上，将火扑灭。而不能是碰倒蜡烛使之熄灭，或碰巧喷出灭火物质。 ④灭火时间：在完成灭火任务的同时计算每组的灭火时间，时间最短者获胜。 -Requirements of fire fighting robot competition ① in the maze to
AdvancedGeneticAlgorithm
- This code and accompanying explanation is designed to be a genetic algorithm. It uses the roulette wheel method to optimize the function x^2 using six digit binary strings. The accompanying document goes through the algorithm and the code step-by-ste
GEneticalgorithmforNumericalOptimizationforCOnstr
- GENOCOP (GEnetic algorithm for Numerical Optimization for COnstrained Problems). This system is optimizing any function with any number of linear constraints (equalities and inequalities).