基于遗传算法优化神经网络结构源程序

LVQ(学习矢量量化)算法：它是Kohonen的有监督学习的扩展形式。融合了自组织和有导师监督的技术，学习方法是竞争的，但产生方式是有教师监督的，也就是说，竞争学习是在由训练输入指定的各类中局部进行。-LVQ (LVQ) algorithm : it is Kohonen of supervised learning the expansion of the form. The convergence of self-organization and supervision of the instructors, learning methods of competition, but there are ways teachers to supervise, meaning that the competitive learning is the training input from the designated categories of partial.

矩形件排样优化问题是一个多目标优化问题，另一方面要考虑到生产时的下料效率-Rectangular pieces of nesting optimization problem is a multi-objective optimization problem, on the other hand, taking into account the production efficiency of the next expected

自适应变步长定向变异遗传算法解函数优化问题 需要调用GAOT5.-Adaptive Variable step directional variation of genetic algorithm optimization solutions function call GAOT5 needs.

MCP(最大截问题)的模拟退火算法程序源码-MCP (the largest cut-off issues) of the simulated annealing algorithm program source

基于熵函数的语音端点检测方法.rar格式为ｖｉｐ-voice endpoint detection methods. Rar format vip

停车诱导系统中车位预测模型的研究 摘 要 研究城市停车诱导系统的停车车位占有率预测问题。首先提出墓于B P神经网络的车位占有预测模型， 同时将自适应 学习速率调整法和加入动量项方法用于改善基本B P神经网络， 优化了学习速率， 减少了训练过程的震荡趋势， 改善了网络的收效 隆。以此为基础实现了停车位的智能预测 0最后， 进行了多种方法比对实验-err

目前开发人工只能的朋友一定会遇到bp算法中八进制的问题，这段程序很好的解决了这个问题。我目前在作模糊控制，神经网络，遗传算法的课题，收集了很多相关程序，望同方向者探讨一二。-only friends will find bp algorithm octal problem, this process satisfactorily resolved this problem. Now I make fuzzy control, neural networks, genetic algorithms topic, a lot of collection procedures, and hopes to explore the same direction on January 2.

程序代码说明 神经网络的实例,内附详细说明-Code description examples of neural network, containing a detailed description of

一个进行数据挖掘的好方法，可以对数据集中的频繁项进行挖掘。但是有一定的缺点，还有需要改进的地方！-Data mining of a better way to focus on data mining of frequent items. Must have the disadvantage, however, also need to improve the place!

计算前提论域中模糊子集的C语言程序.大家可以参考。-On the premise of the calculation domain fuzzy subset C language program. Everyone can refer to.