这个论证的可逆跳MCMC模拟退火使用翻译..

仿真1：首先把网络温度参数T固定在100，按工作规则共进行1000次状态更新,把这1000次状态转移中网络中的各个状态出现的次数Si（i＝1，2，…，16）记录下来 按下式计算各个状态出现的实际频率： Pi=Si/∑i=1,NSi=Si/M 同时按照Bo1tzmann分布计算网络各个状态出现概率的理论值： Q（Ei）=（1/Z）exp（-Ei/T） 仿真2：实施降温方案，重新计算 采用快速降温方案：T（t）= T0/（1+t） T从1000降到0.01，按工作规则更新网络状态 当T=0.01时结束降温，再让T保持在0.01进行1000次状态转移，比较两种概率-a simulation : First of all network parameters temperature T fixed at 100 and, according to the rules for a total of 1000 to update the state, this state of the 1000 network transfer of all states for the number of Si (i = 1, 2, ..., 16) all recorded determined by the formula state-of the actual frequency : Pi = Si/i = 1, NSi = Si/M in accordance with Bo1tzmann distributed computing network of states all probability the theoretical value : Q (Ei) = (1/Z) exp (- Ei/T) Simulation 2 : implementation of cooling, re-using rapid cooling programs : T (t) = T0/(1 t) T dropped to 0.01 from 1000 and, according to the rules updated network state when T = 0.01 at the end of cooling, let T at 0.01 for the 1000 state tran

bp神经网络变形预测源程序(有待改进),很短的一段代码，所有直接写在TXT文件中。-bp neural network prediction deformation source (room for improvement), a very short piece of code, all directly in the TXT file.

针对现有遗传算法在多维非线性优选方面的不足，本文提出了一种基于小生境进化算法（NEA）的非线性优选模型，探讨了NEA算法的参数选择原则。通过大量仿真和比较，表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点，并能在全局范围内有效搜索所有最优解。 -against existing genetic algorithms in three-dimensional nonlinear optimization for the shortage, the paper presents a niche evolutionary algorithm (NEA) nonlinear optimization model, the NEA on the parameters chosen algorithm principle. Through simulation and large, the algorithm shown in a complex nonlinear optimization is fast, efficient, robust features of the strong, and the global scope effective search all the optimal solution.

这是台湾张智星的模式识别的课件的源码，包括GMM和data clusting-This is the star pattern recognition Zhang Zhi courseware source, including the GMM and data clusting

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

文本倾向性分析程序，由中国科学院计算所开发，基于LDA模型，不可外泄的内部程序，冒着被开除的风险与大家分享，欲下从速。-Tendentious text analysis program, developed by the Chinese Academy of Sciences calculated, based on the LDA model, the internal procedures can not be compromised, despite the risk of being fired to share with you, as soon as possible For the next.

人工神经网络网上发给我的BP-ANN Internet to my BP

该源码用来实现基本粒子群的算法，值得参考-The source algorithm is used to achieve the elementary particle group, worth considering

关于机器人控制，算法是可以实现的，希望可以给大家帮组-On the robot control algorithm can be achieved, I hope everyone can help Group

属性约简程序： 1将roughset数据库附加到SQLServer2000数据库中 2 在system.ini中设置SQLServer2000服务器ip,若在本地，则不必设置 3 在CTR表中输入决策表 4 启动roughset_getreduce.exe求约简和规则.-attribute reduction procedures : roughset database will be an additional database to SQLServer2000 2 syste m.ini set SQLServer2000 server ip, if the local, they do not need to set up three tables in the importation of CTR Decision Tables 4 start roughset_getreduce.e xe demand reduction and rules.