基于matlab和DSP的IIR/FIR 滤波器

这是我自己花了很多时间写的一个BP神经网络类，里面封装了网络初始化、训练、分类等功能。奉献出来与感兴趣的朋友分享，绝对可靠。-that I spent a lot of time writing in a category BP neural network inside the network initialization package, training, classification capabilities. Dedication out with friends interested in sharing, absolutely reliable.

HopfieldnetC++source，Hopfield网络的原代码。C++代码-HopfieldnetC++ Source, Hopfield networks, the original code. C++ Code

VC中利用人工智能解决八迷宫问题。这是一个很有趣的人工智能小程序，不妨试试看。-use artificial intelligence to solve eight problems maze. This is a very interesting small artificial intelligence procedures, it may try.

用Prolog求解传教士和野人问题 复习经典谓词演算中的归结原理，掌握人工智能程序设计语言Prolog，理解通过搜索求解问题实现人工智能的思想。-Using Prolog to solve the issue of missionaries and Savage Classical Predicate Calculus review summarized in principle, grasp the artificial intelligence programming language Prolog, to understand to solve problems by searching for the realization of the idea of artificial intelligence.

《神经网络模式识别及其实现》源程序-"pattern recognition and neural network to achieve" source

很好的遗传算法库，并且有详细的说明文档，Visual 2003环境下编写-A good genetic algorithm library, and a detailed description of documents, Visual 2003 environment to prepare

利用模拟退火法求解TSP问题 可以求得50个城市的精确解-The use of simulated annealing algorithm for solving TSP problems can be obtained 50 cities Exact Solutions

SVM的一个源程序，功能很强大，实现的结构很巧妙-SVM as a source, function is very powerful and realize the structure is a clever

　基于VB的遗传算法软件实现 在程序中,FitnessValue (i) 为适应度值数组、avFit2nessValue (100) 为归一化适应度值数组、Population2 Chrom(i ,j) 为遗传个体的等位基因值、Popsize 为种群中的个体数,CHROMLENGTH为一母体对的等位基因 总数。-VB-based genetic algorithm software implementation in the proceedings, FitnessValue (i) In order to meet an array value, avFit2nessValue (100) for the normalized fitness value of the array, Population2 Chrom (i, j) for the genetic value of individual alleles, Popsize for stocks in the number of individuals, CHROMLENGTH for one parent to the total number of alleles.

《人工神经元网络》含有实用的网络模型、学习规则和训练方法的一些算法程序，对学习人工智能，模式识别的人有一些帮助！-"artificial neural network" contains practical network model, learning rules and the training methods of some algorithm for the study of artificial intelligence, pattern recognition of some help!