bp neural network prediction algorithm process to a group of data for effective...

遗传算法编程很有用的，可以用来借鉴参考，希望对大家有帮助！-Genetic algorithm programming useful, can be used to draw reference to all of us want to help!

自适应共振理论（ART）-Adaptive Resonance Theory (ART)

开发环境:Matlab 简要说明:自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。-development environment : Matlab Brief Description : Self-Organizing Map model (Self-Organizing Map feature), a neural network that external input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is automatic End %. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method.

传教士和野人渡河问题盲目搜索算法 一个典型的人工智能算法-missionaries and Savage cross river blind search algorithm of a typical artificial intelligence algorithms

灰度变换的实例程序，其中的CDib类可以直接应用于其他的图像处理程序。-gray transform examples procedures, which the CDib categories can be directly applied to other image processing.

这是一个我自己编写的JAVA程序，可以运行的。思想是将KMEANS和神经网络结合起来实现模式的分类。-This is a Java program writen by meself which can be run.The chief concept is to combine KMEANS and NN to achieve classification of pattens.

WinSVM支持向量机预测分类使用指导书-WinSVM support vector machine classification for prediction guide book

神经网络仿真的基本程序- Nerve network simulation main routine

portal门户开发，jetspeed的应用及理论讲解-portal development portal, jetspeed application and theory to explain

vb写的改进的遗传算法程序。是一些通用代码，与具体问题对应的代码空出来，用的时候填进去。根据我的经验，要想用好遗传算法，代码必须自己写，因为问题不同，编码，杂交，变异算子可能都不一样。特别是杂交算子，需要根据问题调整，甚至创造出新的杂交方法。而且适应度计算的代码也需要自己写，特别是带约束的优化问题 -vb write improvement in the genetic algorithm. Some common code, with the specific issues the corresponding code space, and the time spent filling into account. According to my experience, in order to make good use of genetic algorithms, code must write their own, because different issues, coding, hybridization and mutation operator may not like. In particular hybrid operator, the need to adjust the problem, or even create a new hybrid method. But fitness calculation of the code required to write their own, especially with the constrained optimization problem