资源列表
MessageClassifier
- 数据挖掘 文本分类算法 很适应，可以轻松的学习和体会数据挖掘的奥妙-Data mining text classification algorithm is to adapt, you can easily learn and experience the concave data mining
Rest(2)
- matlab 粗制理论数 ，属性约简，值约简，规则生成，非常实用-matlab rough set theory
ANN-BP
- 分两部分，第一部分是神经网络的基本概念，第二部分是用BP网络实现函数逼近算法-including two part , one is about the basic concept of ANN, the other is algorithm
trnn
- 神经网络训练，应用matlab7NN包，用一个隐藏层使用5折交叉验证。-Training the Neural Network This scr ipt is something that I did for a course at Uni. It uses the Neural Networking package provided with MatLab 7 unfortunately I m not sure if it s available with the earlier ve
GATSP_CPP
- 采用遗传算法实现旅行商问题的C++源代码。-Traveling salesman problem using genetic algorithm in C++ source code.
src
- 用神经网络来进行人脸识别的程序，对脸部的表情进行识别，如高兴，伤心等-Using neural networks for face recognition program, to identify facial expressions such as happy, sad, etc.
Number-Recognition
- 利用matlab编程来实现数字识别，即利用十个数字从0到9的模板与待识别的数字对比来实现识别功能-Use the matlab programming for number identification, namely use templates of ten numbers from 0 to 9 compared with the unidentified number.
naiveBayesClassify
- 机器学习算法，朴素贝叶斯分类器，常用作文本分类，或者用在本体匹配算法中用作相似度的计算-Machine learning algorithm, naive bayes classifier, commonly used ZuoWenBen classification, or use in ontology matching algorithm used in the calculation of similarity degree
运动员最佳匹配问题
- 羽毛球队有男女运动员各n人。给定2 个n×n矩阵P和Q。P[i][j]是男运动员i和女运动员j配对组成混合双打的男运动员竞赛优势；Q[i][j]是女运动员i和男运动员j配合的女运动员竞赛优势。由于技术配合和心理状态等各种因素影响，P[i][j]不一定等于Q[j][i]。男运动员i和女运动员j配对组成混合双打的男女双方竞赛优势为P[i][j]*Q[j][i]。设计一个算法，计算男女运动员最佳配对法，使各组男女双方竞赛优势的总和达到最大。 输入：。第一行有1 个正整数n (1≤n≤20
BP
- BP神经网络的非线性系统建模-非线性函数拟合的一个matlab程序，供参考-BP neural network modeling of nonlinear systems- a non-linear function fitting matlab program, for reference
SAs
- 利用模拟退火算法快速求得连续函数的最优解，程序简单，算法效率高，精度高，鲁棒性好-Fast simulated annealing algorithm for the optimal solution obtained by a continuous function, the program is simple, efficient algorithm for high accuracy, good robustness
main
- 文本分类的前期处理，关于文本的预处理和字频统计，词频统计，猜词，搜索功能-Text classification in the early period of the processing, about text pretreatment and word frequency statistics, obtaining statistics, guess the word, the search function