neural network in Java

pso优化bp神经网络的程序,是师兄论文里的程序,希望对大家有用!-PSO bp neural network optimization procedure is the senior thesis in the process, I hope useful for all of us!

无约束条件的模拟退火算法 -Unconstrained conditions of simulated annealing algorithm

只是Java版实现的蚁群算法与程序结果演示，是学习和理解蚁群算法的好内容。-Only a Java version of the ant colony algorithm to achieve the results and procedures for the demonstration of learning and understanding better the content of ant colony algorithm.

SVM模式识别技术及在机械故障诊断中的应用进展-SVM pattern recognition technology and in Mechanical Fault Diagnosis of progress

遗传免疫是算法的程序 大家可以看看 遗传免疫算法 我也是刚开始学 传上去大家共同学习-Genetic immunization is a method of procedure we will look at the genetic immune algorithm I am also just beginning to learn Chuan-up of common learning

这是一个模式识别中的parzen窗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 in a simple window parzen Category simulation examples, 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 very big help.

Conway s Game of life 算法程序-This article is about a fast Conway s Game of Life version using MFC, thread and DirectX together with a visual demo for sorting algorithms. It is also a good demo for "Bubble" and "Quick Sort" algorithms.

自适应线性神经网路应用实例- Auto-adapted linear nerve network application example

王小平老师的遗传算法-理论应用与软件实现的源代码（matlab， C）-source codes of the book "Genetic Algorithm" by Wang Xiaoping.

LIBSVM源码。LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、 易于使用、快速有效的通用SVM 软件包，可以解决分类问题（包括C- SVC、 n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ） 等问题，提供了线性、多项式、径向基和S形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。-LIBSVM source. LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.