资源列表
WangJiminSVM
- SVM的讲义！具体的内容可以自己看！很详细的-SVM lectures! Specific content can look! Very detailed
ANN-Clanguage
- 人工神经网络的C语言实现 三层人工神经网络实现对函数y=sin(x)的模拟-ANN C language layer artificial neural network to function y = sin (x) of the simulation
neral_network
- 清华大学的神经网络的课件！主要讲了感知器，对传网，自适应共振理论！-Tsinghua University, the neural network software! The main speaker of the perceptron on the Biography network, adaptive resonance theory!
knn
- k最邻近算法，经典的分类算法，绝对有帮助-k-nearest neighbour algorithm,it is a classical algorithm for text cluster
prolog-in-AI
- 一个动物识别专家系统在PROLOG下的实现，通过一个简单的实例来讲解PROLOG在人工智能领域的应用-An animal recognition expert system in PROLOG under implementation through a simple example to explain the application of PROLOG in the field of artificial intelligence
Perceptron
- 利用感知机的线性分类功能，实现2维平面的两类模式分类，matlab实现，并用图像显示-Perceptron using linear classification function, the realization of 2-D plane of the two types of pattern classification, matlab achieve, and image display
tsp_pso
- tsp 粒子群算法修正源码， 参考：大连理工大学 谷超 2009年硕士学位论文 “改进的ACO和PSO算法在TSP中的应用” *郭文忠1，陈国龙1，洪玉玲2 .求解TSP问题的动态邻域粒子群优化算法.漳州师范学院学报(自然科学版) -modified particle swarm optimization tsp source code, reference: Dalian University of Technology master s degree thesis Vall
pathfinder
- 本人优化过已成功应用于公司游戏的快速巡路算法,比A*快10-100倍.-I have already applied successfully to optimize the company' s Game Road Express Tour algorithm, A* than 10-100 times faster.
GA--matlab-
- 遗传算法编码，对于初步学习matlab的人有很好的借鉴作用-Coding genetic algorithm, a preliminary study for people who have a good matlab reference
RF_MexStandalone-v0[1].02
- 随机森林算法 C++和matlab程序结合-Random forests algorithm C++ and matlab program combines
naivebayes
- 本算法介绍了朴素贝叶斯算法的原理和功能以及使用MATLAB实现其功能算法。-This algorithm describes the principle of Bayesian algorithms and functions and the use of MATLAB algorithms to achieve its function.
libsvm-2.88
- 支撑向量机SVM的工具LIBSVM，能够在windows平台下通过命令行使用，也可以在matlab下调用，适合于研究复杂条件下的分类问题-Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM