3 Ant Colony Optimization Algorithm for master

分布式并行数据挖掘计算框架及其算法研究.主要是关联规则-Distributed parallel computing framework for data mining and its algorithm. Mainly association rules

基于Hopfield神经网络解决旅行商问题，学习模式识别的朋友可以参考-Based on the Hopfield neural network to solve traveling salesman problem, pattern recognition learning can refer to a friend

自组织神经网络用于图像分割matlab实现-self-organizing neural networks for image segmentation achieve Matlab

4。《演化程序――遗传算法和数据编码的结合》，[英]米凯利维兹着 科学出版社 2000年第一版 本书分三个部分共16章分别介绍了:1.遗传算法的概念、数学原理及方法步骤 2.遗传算法和数据编码联系起来所构成的演化程序 3.演化程序面向一些实际问题的应用。 本书语言生动，结构合理，较少使用专业性术语和深涩词汇，适合面临优化问题的研究生、程序员、设计师、工程师及科研工作人员参考。-4. "Evolutionary process-- genetic coding algorithm and data integration," [E] Mikhail Liweici a 520-531 2000 version of the first book in three parts a total of 16 chapters were introduced : 1. Genetic Algorithm concept mathematical principles and methods of Step 2. genetic algorithms and data coding linked posed by the evolution of procedures 3. Evolution-oriented procedures some of the practical problems of application. The book vivid language, reasonable structure, and less use of professional terminology and vocabulary deep acerbic suitable for optimization problems facing graduate students, programmers, designers, engineers and research personnel.

模糊数学与人工智能技术 -fuzzy mathematics and artificial intelligence technology

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

遗传算法编程很有用的，可以用来借鉴参考，希望对大家有帮助！-Genetic algorithm programming useful, can be used to draw reference to all of us want to help!

遗传算法基本原理PPT下载，适合初学者学习，一共有四部分。-The basic principles of genetic algorithms PPT download, suitable for beginners to learn, a total of four parts.

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

判断在线签名实例-judge signed an online example