资源列表
PSO
- 改进的pso算法（3个m文件和一个说明文件）： 本算法实现Clerc and Kennedy 2002年对pso算法的重要改进-Improved pso algorithm (3 m files and a README): This algorithm Clerc and Kennedy 2002 an important year for pso algorithm improvements
seg
- 选取读入一份彩色图像，在运行Untitled.m程序时先用鼠标交互的选取一个颜色区域作为你要与其他色彩分割的目标，进行分割，鼠标选取好后，按ENTER健后出现分割节后。-Select a color image reading, the program is running Untitled.m interact with the mouse as you select a colored area to target with other color segmentation, segment
ANN
- ANN神经网络算法，VC6.0实现，希望对大家有帮助.简单的实现，对初学者有用-ANN neural network algorithm, VC6.0 to achieve, we hope to help
yichuansuanfa
- 这是一个很好的遗传算法程序，本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数-This is a good genetic algorithm, the program demonstrates a simple genetic algorithm with a random population, then according to the crossover rate, mutation rate, calculate the maxim
GSA_PY
- 在java编程环境下结合遗传算法和模拟退火算法解决矩形板材的排样问题，排版方法基于剩余矩形进行-In the java programming environment combined with genetic algorithms and simulated annealing algorithm to solve the problem of a rectangular plate nesting
id3
- ID3 algorithm to classify data
Neural-network
- 一些简单神经网络的代码 ，内含训练数据。对初学者比较有用。-some simple codes about Neural network,including train data.it is quite usefull for a new learner.
EightPuzzl
- 解决八数码的排列问题，用三种搜索方法，广度，深度，启发式搜索-Arrangement of eight digital solve the problem, with the three search methods, breadth, depth, heuristic search
DM2011_dataset
- 是SFU数据挖掘的一个大程，供网友练习，欢迎提供解法。-SFU data mining is a major way for users to practice
MC
- MC(传教士-野人）问题，VS2008编译通过，输入格式为MC.exe 输入文件名 输出文件名，输入文件中为传教士（野人）数n和船容量k，输出文件为路径-MC (Missionaries- Savage) problem, VS2008 compiler, enter the name of the input file format MC.exe output file name, input file for the missionaries (Savage) n and boat capa
java_internet
- 本程序运用java在internet开发的优势，对经典的智力游戏五子棋进行了二次开发。其中涉及到的人工智能的代码很具有启发性。-The program developed using the advantages of java in the internet, the classic puzzle game of backgammon for a secondary development. Which involves the artificial intelligence of the c
adapting
- 改进型的蚁群算法，能快速求解多目标规划。-Improved ant colony algorithm, fast multi-objective planning.