quantum genetic algorithm

很好的遗传算法值得一看-well worth looking at the genetic algorithm

字符识别系统——利用双重用途分类后的神经网络系统对原始字符进行识别编码

tutorials for learning protege(open source softwar to design the ontology)

数据挖掘算法(Apriori)--JAVA实现-(Apriori)--JAVA

利用svm结合向量机实现蛋白质相互作用预测-Svm vector machine achieved with the use of protein-protein interaction prediction

神经网络机器人避障matlan仿真程序 可模拟机器人在空间的避障动作-Neural Network Robot Obstacle Avoidance matlan simulation program can simulate the robot moves in space, obstacle avoidance

遗传算法 多目标的优化 是用GAOTV包做的-GA multi-objective optimization is done with the package GAOTV

基于GA的BP改进算法，用遗传算法对BP 神经网络算法进行改进试用过 里面有数据是可以使用的-GA-based improvement of BP algorithm, genetic algorithm with BP neural network algorithm tried there are data that can be used

主要实现了烧结矿碱度的神经网络预测，训练精度高-The main achievement of the sinter basicity of the neural network prediction, training and high precision

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.