BP神经网络的小应用。模拟0~1之间的三角函数曲线

一种基本的模式识别方法，进行了部分改进，简单实用，采用matlab仿真，经编译后无误。供大家学习参考-A basic pattern recognition methods, partially improved, simple and practical, the use of matlab simulation, as compiled correctly. Reference for everyone to learn

Hopfield Model神经网络-Hopfield neural network

此为疾病诊断专家系统，用这种结构建立的知识库可以很方便地实现上面所提到的各种功能。这种结 构的最独特之处就是依靠相同的关键（疾病名或其代码）来实现一种疾病与其症候之 间的相互联系。疾病名与症候分别用二叉树进行排序。排序后可由疾病名而查到与该 疾病名有关的所有详细情况，也可由一种症候而查到哪些疾病有这种症候，以及该症 候可能引起各种疾病的概率。-This is the disease diagnosis expert system, using this structure to establish the knowledge base can easily realize the above mentioned features. The structure of the most unique is that relying on the same key (the disease or its code) to achieve a disease and its symptoms between. Name and symptoms of disease were treated with binary tree sort. Sort by the disease after the name of the disease were found with all the details of which can also be a symptom of the diseases that have found such a symptom, as well as the symptoms may lead to the probability of various diseases.

结合均匀设计表和小边经验公式产生初始种群，使TSP应用遗传算法能求出更优更快解，详尽说明见paper.doc。-uniform design combining a small side table and have empirical formula initial population, TSP application of genetic algorithms can be obtained faster and better solutions, detailed description of paper.doc.

用免疫算法来实现TSP问题的求解，程序全，可以运行。-Using immune algorithm to achieve the TSP problem solving, program-wide, you can run.

基本遗传算法的Matlab工具包，在Matlab环境下实现。-basic genetic algorithm Matlab tool kits, under Matlab environment.

提出了一种利用S函数实验结果表明：ICA可以将 脑电信号中包含的心电（ECG）、眼电（EOG）等多种干扰信号成功地分离出来-use of a S-function experimental results show : ICA EEG can be included in the heart (ECG), eyes (EOG) and other interference signal successfully separated

本书专门介绍遗传算法中的仿生学计算算法的资料，是一本适合于人工智能初学者的好书。-book devoted to the genetic algorithm bionics algorithm information, is a suitable for beginners books on artificial intelligence.

有关粒子群算法的求解tsp的c++程序。-the PSO for the c tsp procedures.

CMAC小脑模型神经网络的具体实现算法。-CMAC cerebellar model of neural network algorithm for concrete realization.