bp人工神经网络算法实现，用java编写程序代码，应用案例是港口吞吐量预测...

　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.

基于RBF的PID控制matlab程序，望大家参考，共同学习。-PID control based on RBF

遗传算法的人工生命模拟源程序-Genetic algorithm source artificial life simulation

Adaline Network Pattern Recognition 人工智能人工神经网络源码-Adaline Network Pattern Recognition of artificial neural network artificial intelligence source

这是一种利用神经网络来进行人脸识别的算法。-This is a neural network to the face recognition algorithm.

这是一本比较详细介绍进化算法的电子书，是pdf格式的。-This is a more detailed introduction of the e-book evolution algorithm is pdf format.

网络为３层结构，输入层为６个神经元，隐含层为４个神经元，输出层为１个神经元，当输入层为中心对称样本 1，0，0，0，0，1等时，网络输出为1，否则输出为0。-network of three-layer structure, input layer to six neurons to the hidden layer 4 neurons, the output layer to a neuron, when the input layer to the center symmetry samples such as 1,0,0,0,0,1, the output of a network, the output is 0.

多层神经网络的可执行例子 http://www.codeproject.com/cpp/MLP.asp?df=100&forumid=148477&exp=0&select=1141594#xx1141594-multilayer neural network executable examples http :// www.codeproject.com/cpp/MLP.asp df = 1

C＋＋编写的机器学习算法 Lemga is a C++ package which consists of classes for several learning models and generic algorithms for optimizing (training) the models-prepared by the machine learning algorithm Lemga C is a package which con sists of classes for several learning models an d generic algorithms for optimizing (training ) the models

这是一个人工智能方面专家系统的例子，建立动物识别专家系统的规则库，并用与/或图来描述这个规则库。-This is an area of artificial intelligence expert system for example, the establishment of animal recognition expert system rule base and used and/or graph to describe the rule base.