Knapsack Problem Solving

用C++实现了期望最大化算法，为了简化，矩阵使用对角矩阵-C achieve expectations maximize algorithm, in order to simplify the use of matrix diagonal matrix

模式识别中关于感知器算法的程序,输入点进行聚类.-pattern recognition algorithm on the perception of the process, input cluster.

一个可自我学习的人工智能小模型，可进行训练，也可进行提问。 希望对大家研究人工智能算法上有帮助！-A small self-learning artificial intelligence model for training, but also ask questions. We hope that research on artificial intelligence algorithms help!

基于遗传算法的排课系统，可以实现多种课程的排列-based on genetic algorithm Course Scheduling System, can achieve a wide variety of courses with the

这是一个模式识别中的K均值算法的一个简单仿真分类实例，其中female.txt和male.txt是训练样本，test.txt是测试样本，分类效果非常好，对于模式学习的初学者将会有很大帮助。-This is a pattern recognition algorithm of the K-means classification of a simple simulation example is one of female.txt and male.txt training samples, test.txt is the measurement, classification effect is very good for beginners will be learning model has great help to me.

tsp问题，是一个很典型的NP完全问题，该程序用了遗传―退火结合算法，能优化计算-tsp problem is a typical NP-complete problem, the program is to use genetic- combined annealing algorithms that optimize computing

电压稳定的仿真软件 可以的出最大传输功率 - Voltage regulation simulation software may biggest transmission power

C++实现的支持向量机神经网络代码，欢迎各位使用-C realized SVM neural network code, welcome you use

CPN能提供强大的分类功能.介绍CPN(Counter Propagation Networks)神经网络的结构、训练及计算的基础上,详细讨论了CPN在离散事件动态系统(DEDS)仿真、仿真优化等方面的应用。 -CPN can provide powerful classification. Introduction CPN (Counter Propagation Networks) neural network structure, training and calculated on the basis of a detailed discussion of the CPN in Discrete Event Dynamic System (DEDS) simulation, simulation optimization applications.

CPN算法的matlab实现，CPN人工神经网络-Matlab algorithm of network，The artificial neural network, network