本算法使用了遗传算法的方法实现了随机数的生成方法。能够比较平均得实现随机数的生成。...

蚂蚁算法的VC代码源，模拟蚂蚁觅食的行走途径，解决最优路径问题。-Ant Algorithm VC source code to simulate the foraging ants to walk way to solve the optimal routing problem.

细胞自动机的，很好的-Cellular Automata and fine

神经网络与pid混合控制源程序，可以很好的解决非线性控制问题-Neural network and hybrid control pid source can be a very good solution to nonlinear control problems

遗传算法做图像的模式匹配，绝对经典，有源码看，有执行文件可以执行，下面有个执行环境的文件请先安装。-Genetic algorithm to do pattern matching images, absolute classics, and have look source, has the implementation of a document can be implemented, has the following months the implementation of environmental documents, please install.

基与多种智能方法和模式识别技术的研究,如果你也在从事相关研究,一定要看看,我想应该有借鉴价值-base with a variety of intelligent methods and pattern recognition techniques, but if you are engaged in related research, we must look at, I think there should be a reference value

随机神经网络工具箱-random neural network toolbox

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

基于小波和神经网络的论文，来自期刊网-wavelet-based and neural network papers from the Journal Network! !

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!

本多功能自控系统软实验平台包括经典控制理论、现代控制理论、系统辨识、最优控制、智能控制等的软实验内容，其功能接近和部分超过了Matlab的自动控制工具箱，其人性化的中文界面，让使用者能轻松完成各种控制系统实验，是学习控制理论、设计控制系统的有力工具。-the multifunction control system experimental platform including soft classical control theory, the modern control theory, system identification, optimal control, intelligent control of the soft experiments, its function and some close over the Matlab toolbox control, the human interface to help users easily End into a variety of experimental control system, control theory is the study and design of the control system powerful tool.