greedy em hybrid model training algorithm

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。总之，ASM是一个电脑中不断进化的虚拟股票市场！通过研究ASM，我们可以更好的理解现实世界的行为，并且它提供了一个很好的现实股市的隐喻。 备注：该程序运行需要有Swarm平台的支持，关于这个平台可以到http://www.swarm.org免费下载。 -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,

C4.5决策树matlab程序,本人找了很久才找到，绝对能用-C4.5 Decision Tree code

tsp问题用神经网络方法解决-tsp uses neural network solution

张文修老师主编的详细介绍遗传算法及其数学基础的一本书，研究遗传算法的一本很好的参考书，特别推荐！-Edited by Prof. Zhang Wenxiu, detailed genetic algorithm and its mathematical foundations, a very good reference book to study the genetic algorithm, strongly recommended!

解TSP问题的遗传算法C语言程序-solution of TSP genetic algorithm C Programming Language

MATLAB编写的粒子群优化算法,好用！-MATLAB prepared particle swarm optimization algorithm, easy to use!

CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation

一个更精度的平滑涵数, 可用于股票交易系统.用于Amibroker 平台-a more accurate smooth average function for amibroker trading system

8皇后问题。所谓著名的八皇后问题就是八个皇后在8*8的网格中排列时不能同在一行、一列或者一条斜线上。根据前人的研究，在8！=40320种排列中只有92中解决方案。-8 Queen

实现文字的识别 利用比较先进的神经网络笔者已经实验 绝对可行！-it is a good method to realize te recgniton of words.it is based on bp network,the author realized it!