销售预测系统，可以根据历史销售数据对未来的销售量进行有效预测，采用BP神经网络对预测模型进行训练，可以达到不错效果...

遗传基因算法源代码(资料)，C++源代码，是研究遗传算法的入门程序。-genetic algorithm source code (information), C source code, is to study the genetic algorithm entry procedures.

SVM程序,以方便大家来使用，仅供参考fgawgagssag gwgragha ghewrag ghwaweg-svm programe ,for everyone can get this and gag gwe gwega gwega gwerga

给出了FIR滤波器设计的C语言程序，可以根据设计要求，灵活地调整参数，得到需要的滤波器参数。-given FIR filter design in C language program, according to the design requirements, flexibility to adjust parameters and the filter parameters.

SOM自组织神经网络的C语言源码，可以通过该程序实现无监督的聚类。-SOM self-organizing neural network C-language source code

This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANSprogram accepts input consisting of vectors and calculates the givennumber of cluster centers using the K-means algorithm. Output isdirected to the screen.

用vc开发的A*寻路算法的dll,可以在其他语言调用，包含了一个vb调用的示例-The dll file of A* road-mapping algorathm,which can be used in other language,including an example of vb.

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c语言的神经网络源程序-c language source neural network

This a SVM light for those who want to learn how Support Vector Machine work-This is a SVM light for those who want to learn how Support Vector Machine work

人工股市（Artificial Stock Market，简称ASM）是模拟股市运作的一个程序。在这个电脑中的虚拟市场中，若干被称为交易者的人工智能程序(Agent)通过观察它们所在的数字世界中股价和股息的不断变换而做出预测，并且根据这些预测做出购买股票与否以及购买股票数量的决策。反过来，所有的交易者的决策又决定了股票的价格，这样，整个的股票交易市场就构成了一个自我封闭的计算系统。同时，这些交易者都具有学习的能力，可以根据以前预测的成功或者失败对自己的决策进行调整，并且通过一种被称为遗传算法的方法产生创新能力。-artificial stock market (Artificial Stock Market, or ASM) is a stock market simulation operation of the procedure. In this computer in the virtual market, a number of traders known as artificial intelligence (Agent) by observing them where the digital world and the stock dividend and the constantly changing projections, and based on these projections made whether or not to purchase stocks and the purchase of shares in decision-making. Conversely, all the decision-making transactions in turn determines the share price, so that the entire stock market would constitute a self-enclosed computer system. Moreover, these transactions are capable of learning, can be predicted based on previous success or failure of their decisions for the