基于RBF的PID控制matlab程序，望大家参考，共同学习。

神经网络研究生收费模型的具体方案以及其应用-Neural network model of graduate student fees, as well as their application specific program

蚂蚁社区的源代码，用C++开发，很直观的演示-ant communities of source code, development using C, a very visual demonstration

使用labview编写的dice游戏，很有趣味性。-prepared by the use of PC dice games, very interesting.

另一个足球机器人程序，有非常好的参考价值-Another robot football program, there are very good reference value

是vc++编写的BP神经网络预测源代码，在预测的方向需要的通知下载吧-Is vc++ Prepared by BP neural network prediction source code, in the prediction of the direction you need to download the notice

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.

浙江大学编的神经网络入门教程，pdf格式。-Zhejiang University, made the neural network Tutorial, pdf format.

模式识别下的ISODATA算法 例子为IRIS数据库数据-ISODATA algorithm for pattern recognition under the examples for the IRIS database data

ARTMAP source code. include: Fuzzy ARTMAP, Default ARTMAP, Instance-Counting ARTMAP, Distributed ARTMAP-ARTMAP source code. Include : Fuzzy ARTMAP, Default ARTMAP. Instance-Counting ARTMAP. Distributed ARTMAP

遗传算法 遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."