Pspice

,从Matlab调用C/C++代码及C/C++调用m文件两方面,深入地研究了它们之间混合编程的原理和实现机制,并且给出了具体条件下的混合编程方法和步骤。实例表明,提出的Matlab与C/C++混合编程方法是简洁、有效的。 更多还原 (Two aspects, called from Matlab the C/C++ code, C/C++ call m files, in-depth study of the principles and implementation mechanisms of mixed programming between them, and given the mixed programming methods and steps under specific conditions. The examples show that the proposed Matlab and C/C++ hybrid programming method is simple, effective. More Restore)

说明：  数组应用实例：定义一个函数，显示结构各成员的值(Array Application Example: Define a function to display the value of each member of the structure)

这是一种关联度问题的MATLAB的代码有用请下载(if it help,please go ahead)

Dijkstra最短路算法通用Matlab程序

- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer + Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts. +Reference papers: H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.(- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous- Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.)

this is a example about matlab and VC

matlab与c联合开发类 VC调用matlab(call matlab in VC++6.0)

人脸识别MATLAB程序，识别准确率达到88 。。(Recognition program, face recognition revision, the recognition rate of 88 .)

我导师写的《自适应控制与理论》的源代码。非常好。(My tutor had written the adaptive control and the theory of source code. Very good.)

Matlab教程第七章案例，面板数据分析、计量(Matlab Guide Chapter VII of the case, panel data analysis, measurement)