人工智能小模型，货郎担问题，一个简单的 实例

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

SVDD的工具箱，可以很好的处理一类分类问题，详见Support Vector Data Description一文-SVDD tools，can be used to process one class classification problem,for more details ,we refer to "Support Vector Data Description"

一个模糊的YBP训练程序，初学者应该从入门开始学习

专家浅谈人工智能，doc文档-expert on artificial intelligence, doc file

模式识别的书，介绍的论文模式识别的书，介绍的论文-Pattern Recognition book on pattern recognition paper book, the thesis introduction

使用labview编写的dice游戏，很有趣味性。-prepared by the use of PC dice games, very interesting.

根据人工智能的模糊理论编写的温度控制程序，实现对温度的模糊控制-under artificial intelligence theory of fuzzy prepared by the temperature control process, the temperature of Fuzzy Control

用vb编写的一个遗传算法的程序，大家可以参考-prepared with a genetic algorithm of the procedure, we can refer to

线性神经网络，BP神经网络，Hopfield神经网格，Elman神经网络，RBF神经网络；在模型应用模块中实现了六种实际应用：RBF网络的船用柴油机故障诊断，BP网络的齿轮箱故障诊断，SOM网络的回热系统故障诊断，BP网络的设备状态分类器，SOM网络的人口比例样本分类，SOM网络的土壤性状样本分类。-Linear neural network, BP neural network, Hopfield neural network, Elman neural network, RBF neural network application modules in the model to achieve practical application of Six: RBF network of marine diesel engine fault diagnosis, BP network gearbox fault diagnosis, SOM network regenerative system fault diagnosis, BP network classifier equipment, SOM network the proportion of the population sample classification, SOM network classification of soil samples.

很好的分类程序。。。。C++语言编写。。。VC开发环境-good classification procedure. . . . C language. . . VC development environment.