lorenzp

本程序基于matlab实现了贝叶斯分类器，是模式识别理论中基本的操作，希望对初学者有帮助。(This procedure achieved a matlab-based Bayesian classifier, Pattern Recognition Theory is the basic operation, and they hope to be helpful for beginners.)

说明：  M AT L A B有一些命令可以来控制M AT L A B语句的执行，如条件语句、循环语句和支持用 户交互的命令，本章将介绍这些命令.(M AT LAB some commands to control the implementation of M AT LAB statements, such as conditional statements, loop statements, and support the use of Users interact with the command, this chapter will describe these commands)

Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value.

Segment tree implementation for Rangesum

基于MATLAB的岩体地质2维结构面网络模拟代码。(Based on MATLAB rock geological 2-dimensional network simulation code.)

说明：  粒子群算法求解约束多目标优化万能matlab代码。本代码是基于有约束条件的寻优问题，采用APSO可以加快寻优的速度，修改参数比较简单，目标函数和上下限根据自身的需要进行改动，，可以实现目标函数的寻优(Particle swarm algorithm for solving constrained multi-objective optimization universal matlab code. This code is based on the optimization problem with constraints. Using APSO can speed up the optimization process. It is relatively simple to modify the parameters. The objective function and the upper and lower limits are changed according to their own needs. The optimization of the objective function can be achieved.)

for removal used to remove the fog and get clear image

首先由计算机产生[1,100]之间的随机整数，然后由用户猜测所产生的随机数。根据用户猜测的情况给出不同提示，如猜测的数大于产生的数，则显示“High”，小于则显示“Low”，等于则显示“You won”，同时退出游戏。用户最多可以猜7次。(First produced by the computer [1100] between a random integer, then by the user to guess generated random numbers. According to the user guesses are different tips, such as guess the number is greater than the number, then displays " High"," Low", smaller than the display to show " You won", at the same time to quit the game. The user can have up to7 guess.)

ests for KeyGenerator constructor and methods.

基于SOM算法实现的文本聚类，有详细的剖析与例证，希望大家喜欢(SOM-based text clustering algorithm, has a detailed analysis and examples, I hope everyone likes)