Visual C++编写的粒子群优化算法！

介绍人工神经网络的模型及其应用。张立明编著，复旦大学出版社出版。-Introduction of artificial neural network model and its application. Edited by Zhang Liming, Fudan University Publishing House.

清华大学不确定规划教材中的用遗传算法训练神经元网络的混合智能算法1-Tsinghua University, uncertainty in the planning of teaching materials by using genetic algorithm trained neural network Hybrid Intelligent Algorithm 1

此编码是一个数据挖掘的决策树各种算法。以作为入门提示-this code is a decision tree data mining algorithms. As a portal to suggest

2005年10月份自写的细菌分割、标号与面积统计程序。带测试图像-in October 2005 since the bacteria was divided, with the label area statistical procedures. With test images

关联规则的频繁项集算法bomo的源代码，含说明文件，C编写，可在linux和windows下编译。-Related and regular frequent source codes which collects algorithm bomo, includes the supporting paper, C is written, can compile under linux and windows

《人工神经元网络》含有实用的网络模型、学习规则和训练方法的一些算法程序，对学习人工智能，模式识别的人有一些帮助！-"artificial neural network" contains practical network model, learning rules and the training methods of some algorithm for the study of artificial intelligence, pattern recognition of some help!

针对TSP问题，用类神经网路的方法去求解！-against TSP, and the neural network approach to solving!

FisherFace, an algorithm based on PCA and LDA

介绍了遗传算法的基本原理和求解流程, 详细阐述了Matlab 遗传算法工具箱的使用方法, 并通过使用遗传算法工具箱对一个典型的函数优化问题进行求解, 验证了该工具箱在解决函数优化问题上的有效性和实用性。-Introduce a genetic algorithm to solve the basic principle and flow in detail Matlab genetic algorithm toolbox to use, and by using genetic algorithm toolbox for a typical function optimization problems to solve, the validity of the toolbox in solving function optimization problems on the effectiveness and practicality.

线性神经网络，BP神经网络，Hopfield神经网格，Elman神经网络，RBF神经网络；在模型应用模块中实现了六种实际应用：RBF网络的船用柴油机故障诊断，BP网络的齿轮箱故障诊断，SOM网络的回热系统故障诊断，BP网络的设备状态分类器，SOM网络的人口比例样本分类，SOM网络的土壤性状样本分类。-Linear neural network, BP neural network, Hopfield neural network, Elman neural network, RBF neural network application modules in the model to achieve practical application of Six: RBF network of marine diesel engine fault diagnosis, BP network gearbox fault diagnosis, SOM network regenerative system fault diagnosis, BP network classifier equipment, SOM network the proportion of the population sample classification, SOM network classification of soil samples.