“模式识别与神经网络实现”的源程序

关于遗传算法 源代码-On the genetic algorithm source code

一个神经网络原型代码，针对的例子为《Perceptron Learning》 (Russell & Norvig， 第742页)-A neural network prototype code, for example for

该文档是清华大学的模式识别教程，该版本是网页版本，浏览非常方便，内容也非常详细，非常适合初学者，个人举得特别是支持向量机那一章描述很棒！-this document is from Tsinghua University,this is the html version,it is convenient to read, it is very suitable for the elementary readers,in my own opinion,the charter of svm is very detail and easily understandable.

微分进化算法DE是1995年由Rainer Storn和Kenneth Price首先提出。DE已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点[5,6] 。它在许多优化问题中都表现出优于自适应模拟退火算法、POS 算法、GA算法的性能。DE利用实数值参数向量作为每一代的种群，它的自参考种群繁殖方案与其他优化算法不同。-DE was first proposed in 1995 by Rainer Storn and Kenneth Price and had been proven that it is efficient, convergent, and robust in the solution process. [5,6] In many optimize questions, its performance surpasses the adaptive simulated annealing algorithm, the POS algorithm, and the GA algorithm. DE gets each generation of population using the real value parameter vector, and the crucial idea of DE is a scheme for generating trial parameter vectors.

非线性规划中求解无约束问题中的一个有效方法--模矢法(步长加速法),并用图表示出来步骤.-Nonlinear Programming Solution unconstrained problem of an effective method-- vector mode (step acceleration), and using map out steps.

Evenly spaces the cities on the perimeter of a wheel and returns a vector of their coordinates 利用AI技术生成一个圆-Evenly spaces the cities on the perimeter of a wheel and returns a vector of their coordinates the use of AI technology to generate a circle

Adaptive Resonance Theory (ART) Neural Network

本程序利用遗传算法解决一简单的多项式极值问题-This procedure using the genetic algorithm to solve a simple problem of polynomial extremal

神经网络训练算法,很快 很简单 很适用 能快速用到实验环境中去-Neural network training algorithm, is applicable to very quickly is very simple to quickly use the experimental environment

vb环境下 匈牙利算法的解决 自己编的 仅供参考-Hungary Algorathm in vb,made by myself ,just for reference