基于ELMAN神经网络对阶跃响应动态进行补偿也可以举一反三的运用于ELMAN网络的其他应用...

本程序主要实现了费若算法在信息论及编码中的应用-This procedure mainly realize the fee if the algorithm discussed in the Information Coding

LinPacker是一个优化矩形布局的工具，是在具有遗传算法的半无限大小区完成这一操作的。对缩减工厂的库存是有用的。-LinPacker optimization is a rectangular layout of the tool, with a genetic algorithm in the semi-infinite size of the area to complete the operation. To reduce factory stocks will be useful.

基于ICA的信号分离程序，是一个很好的信号处理方面的程序-based ICA signal separation procedure is a very good signal processing procedures

包含FuzzyKMeans, FuzzyGK, FuzzyR等算法，拓展了weka（本站可以下载）-Contains algorithm such as FuzzyKMeans, FuzzyGK, FuzzyR. Extends weka(it is can be download form this site)

野人过河问题属于人工智能学科中的一个经典问题,问题描述如下: 有三个牧师(也有的翻译为传教士)和三个野人过河,只有一条能装下两个人的船,在河的任何一方或者船上,如果野人的人数大于牧师的人数,那么牧师就会有危险. -Savage disciplines of artificial intelligence problems are across the river a classic problem, described as follows: there are three priests (and some translation for the missionaries) and three wild man to cross the river, there is only one person can hold two boats, the river of any either on board or, if greater than the number of wild man of the number of priests, then the pastor will be in danger.

决策树 C45Rule-PANE算法 解决了决策的问题,是从QUILAN算法修改而成-Decision Tree C45Rule- PANE algorithm to solve the problem of decision-making, from QUILAN algorithm revisions

决策树分类C5.0算法的C语言实现源码！-C5.0 decision tree classification algorithm realize the C language source code!

遗传算法求解TSP问题-genetic algorithm for TSP

BP算法实现异或问题,采用S型函数的前向多层神经网络及其逆推学习算法-BP algorithm differences or problems, use of the S-Function to the multilayer neural networks and learning algorithms Backstepping

The purpose of this computer program is to allow the user to construct, train and test differenttypes of artificial neural networks. By implementing the concepts of templates, inheritance andderived classes from C++ object oriented programming, the necessity for declaring multiple largestructures and duplicate attributes is reduced. Utilizing dynamic binding and memory allocationafforded by C++, the user can choose to develop four separate types of neural networks: