基本遗传学习分类系统，C++源代码

基于神经网络的电离层F2层临界频率预测方法 基于神经网络的电离层F2层临界频率预测方法-Based on neural network of ionospheric layer F2 critical frequency forecasting methods based on neural network of ionospheric layer F2 critical frequency forecasting methods

　基于VB的遗传算法软件实现 在程序中,FitnessValue (i) 为适应度值数组、avFit2nessValue (100) 为归一化适应度值数组、Population2 Chrom(i ,j) 为遗传个体的等位基因值、Popsize 为种群中的个体数,CHROMLENGTH为一母体对的等位基因 总数。-VB-based genetic algorithm software implementation in the proceedings, FitnessValue (i) In order to meet an array value, avFit2nessValue (100) for the normalized fitness value of the array, Population2 Chrom (i, j) for the genetic value of individual alleles, Popsize for stocks in the number of individuals, CHROMLENGTH for one parent to the total number of alleles.

ADALINE(神经网络 vc＋＋编写的)-ADALINE (neural networks, prepared by vc )

计算电磁学中的遗传算法，是比较好的优化书籍，欢迎下载使用-Computational electromagnetics in the genetic algorithm is a better optimization of books, welcome to download

一份中科院开发的语义分析源码，可编译运行。里面的代码都很完整，注释也清晰，是研究语义语法分析的必不可少的学习工程。-A semantic analysis of source code developed by Chinese Academy of Sciences, can be compiled to run. The code inside the very integrity of annotations is also clear, is to study the semantic parsing essential to study engineering.

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

一个VC编写的神经网络算法程序，对学智能算法的朋友很有用。-a VC prepared by the neural network algorithm procedures, intelligent algorithm friends useful.

用Java编的人工智能的归结反演算法-Java series attributed to the anti-artificial intelligence algorithms

人工神经网络BP算法 1、动态改变学习速率 2、加入动量项 3、运用了Matcom4.5的矩阵运算库（可免费下载,头文件matlib.h)， 方便矩阵运算,当然，也可自己写矩阵类 4、可暂停运算 5、可将网络以文件的形式保存、恢复-Artificial neural network BP algorithm 1, the dynamic change learning rate 2, adding momentum of 3, using the matrix calculation Matcom4.5 library (can be downloaded free of charge, the first document matlib.h), facilitate the matrix calculation, of course, can also write their own matrix Class 4, may be suspended by the operator 5, may be the form of network to the preservation, restoration

使用pca和svm方法对表情进行分类，有较高的识别准确率。