zuiduanlusuanfa

Opnet jacksons network with tutorial and model

模拟退火算法求解优化问题，实例非常好，推荐下载(Simulated annealing algorithm to solve the optimization problem, the example is very good, recommended download)

Matlab program to solve Duffing equation for period doubleing and chaos

This m-file implements a simple data acquisition gui with multiple channels and custom triggering It demonstrates how to: 1) Use nested functions to simplify data acquisition programs 2) Use a simple GUI (a couple of pushbuttons) to start and stop data acquisition. 3) Wait for an event/trigger (like a button press) and log pre-event or pre-trigger data from multiple synchronized channels. 4) Record pretrigger data based on custom criteria. In this m-file the triggering event is a button click. However, the event could be any custom criterion (e.g., the data amplitude is greater than a threshold *and* a toggle button is enabled). Requires: the Data Acquisition Toolbox (TM) and the Winsound adapter. It does not depend on any hardware-specific capabilities. (This m-file implements a simple data acquisition gui with multiple channels and custom triggering It demonstrates how to: 1) Use nested functions to simplify data acquisition programs 2) Use a simple GUI (a couple of pushbuttons) to start and stop data acquisition. 3) Wait for an event/trigger (like a button press) and log pre-event or pre-trigger data from multiple synchronized channels. 4) Record pretrigger data based on custom criteria. In this m-file the triggering event is a button click. However, the event could be any custom criterion (e.g., the data amplitude is greater than a threshold*and* a toggle button is enabled). Requires: the Data Acquisition Toolbox (TM) and the Winsound adapter. It does not depend on any hardware-specific capabilities. )

说明：  自己写的CMAC 小脑神经网络逼近非线性函数(Write your own CMAC CMAC approximate nonlinear functions)

Boost学习指南 Boost学习指南 Boost学习指南(Boost study Boost study Boost study)

matlab的petri网工具包，可以在matlab7.0上运行(the petri net matlab toolkit, you can run matlab7.0)

GUI building document

灰色预测，求关联度、极差、关联系数以及后验差检验(Gray predicts that demand correlation, poor, poor correlation coefficients and posterior test)

a memo how to right a matlab code