资源列表
Machine-Learning
- Machine Learning: A Probabilistic Perspective.2012年才出的一本机器学习好书-Machine Learning: A Probabilistic Perspective.A good book just published in 2012.
Pattern-Recognition
- Pattern Recognition and Machine Learning.通俗易懂。推荐！-Pattern Recognition and Machine Learning. Straightaway. Recommended!
Solution-to-Pattern-recognition
- bishop的Pattern Recognition and Machine Learning的习题解-Exercises Solutions to bishop of Pattern Recognition and Machine Learning
probability-estimation
- 给定若干三维数据，建立训练概率模型，并对新数据进行估计。包括高斯模型、Parzen窗和K近邻密度估计-Given a number of three-dimensional data, the establishment of training probability model, and the new data is estimated. Including the Gaussian model, Parzen windows and K nearest neighbor density e
maze
- 人工智能之迷宫寻路实验源代码，运用启发式算法，实现迷宫寻路的功能。-Experimental source code of the maze of artificial intelligence, using the heuristic algorithm, the function of maze seeking.
SGALAB1003beta5008_agriculture
- 带有模糊逻辑控制的多目标遗传算法,包括19个m文件和9个说明文档-Multi-objective genetic algorithm with fuzzy logic control，which include nineteen .m documents and nine guiding documents
Multi-objective-Dragonfly-algorithm
- 多目标蜻蜓算法，包括11个m文件，经测试可运行得到结果-Multi-objective Dragonfly algorithm, which includes 11 m file and can be properly run to obtain results.
fastann
- 快速人工神经元网络库文件，支持多层bp网络的学习和应用。-Fast Artificial Neural Network Library, with the support of multiple layer bp learning and predicting algorithm.
FapTurbo52
- 著名的EA，测试结果良好 有兴趣的朋友可以测试交流下
A-star
- python A-star算法求解8-puzzle-python A-star algorithm 8-puzzle
GA
- python遗传算法求解背包问题,后者由1978年由Merkel和Hellman提出。其运行依赖DEAP -python genetic algorithm knapsack problem, which in 1978 proposed by Merkel and Hellman. Its operation depend DEAP
BFS
- java环境下采用广度优先搜索来求解8-puzzle、8-queen等智能问题 -By using BFS java environment to solve the 8-puzzle, 8-queen, intelligent problem