neural networks the computational procedures

神经网络（模式识别模块）软件开发包!!!可以识别任何事物，适用于图像识别、语音识别、自动控制等诸多领域，具有简单、易学、开发周期短、识别率高等特点。-neural network (pattern recognition module) software development kit! ! ! Nothing can be identified and applied to image recognition, voice recognition, automatic control and many other areas, which is simple, easy to learn, short development cycle, features high recognition rate.

模糊pid的一个例子，在Visual c++下通过-An example of fuzzy pid, in the Visual c++ Through

模糊控制与PID控制比较,模糊控制仿真的阶跃响应-fuzzy control

人工智能神经网络识别 人工智能神经网络识别-Artificial neural network artificial neural network to identify

这是一个遗传算法的代码，用C++写的，运行环境是vs2005.-This is a genetic algorithm code, using C++ Written running environment is vs2005.

这个程序是在windows平台下运行game of life最好的平台。它不仅对细胞空间没有限制、运行速度非常快、界面很友好，而且能够为你提供大量的初始细胞分布图案，你还可以任意组合这些图案达到你象要的构形，然后让这些构形动起来组合出更加神奇的生命游戏的世界。-the procedure is the windows platform running game of life the best platform. It not only on the cell space is no restriction, running very fast, very friendly interface, but you have to provide a lot of initial cell distribution patterns, you can design any combination of these to you as to the configuration, then let these configuration movement combined to make life more wonderful game world.

一个bp神经元网络的c++实现，优化了算法，有可执行界面-A bp neural network c++ to achieve and optimize the algorithm, there is an executable interface

基于遗传算法的模拟退火-based on genetic algorithm simulated annealing

基于遗传算法的模糊卡尔曼滤波器-Fuzzy kalman filter based on inheritance algorithmic.

基于自组织特征映射网络的聚类分析，是在神经网络基础上发展起来的一种新的非监督聚类方法，分析了基于自 组织特征映射网络聚类的学习过程，分析了权系数自组织过程中邻域函数和学习步长的一般取值问题，给出了基于自组织 特征映射网络聚类实现的具体算法，并通过实际示例测试，证实了算法的正确性。 -Based on self-organizing feature map network cluster analysis, neural network is developed on the basis of a new non-supervised clustering method, analysis based on self-organizing feature map network clustering of the learning process, analyzed the weights of self-organization the process of neighborhood function and learning step-size problem of the general values are given based on the self-organizing feature map network clustering algorithm to achieve concrete and practical examples of tests, confirmed the correctness of the algorithm.