testgrid2-2014-11-20

用M语言编写的画多元数据平行坐标图代码，数据用的是一组蔬菜油（国际期刊）数据，写得不好，多指教。(By M art multi-language data parallel coordinates graph code, data used are a group of vegetable oils (International Journal) data, not well written, multi-index.)

粗糙集数据初处理。。。。将连续数据离散化

波束形成结合准正交空时编码编码4天线系统，附有仿真图(Beamforming combined with quasi-orthogonal space-time coding coding 4 antenna system, with simulation of Figure)

introduction to matlab sw.. it designed by me..it is usefull for student

对加噪信号进行奇异值分解。对奇异值计算其熵特征(Plus noise signal on the singular value decomposition. Calculate the entropy for the singular value feature)

34 节点配电网潮流计算，这是其中一部分，另外两部分为ieee34mod2和ieee34linecode(34 node distribution power flow calculation, which is part of it, and the other two into ieee34mod2 ieee34linecode)

THIS PROGRAM USES PULSE EXPANSION FOR THE ELECTRIC CURRENT MODE C AND POINT-MATCHING FOR THE ELECTRIC FIELD AT THE CENTER OF EACH C WIRE SEGMENT. C C DELTA-GAP FEED MODEL IS USED IN BOTH FORMULATIONS. IN ADDITION, C MAGNETIC-FRILL GENERATOR IS AVAILABLE IN THE POCKLINGTON S C INTEGRAL EQUATION.

是蛋白质二级结构优化（基于2维度非晶格模型）的优化代码，可直接运行，算法书写简单，高中生都能看懂。唯独一点，必须引用我们的两篇论文，否则算侵犯版权。( description : A self-organized matlab m file for protein structure optimization using 2D off-lattice model and ABC algorithm. Users MUST cite the following two articles if the codes are implemented in their studies (1) Li, B., Li, Y., & Gong, L. (2014). Protein secondary structure optimization using an improved artificial bee colony algorithm based on AB off-lattice model. Engineering Applications of Artificial Intelligence, 27, 70-79. (2) Li, B., Gong, L., & Yao, Y. (2013, October). On the performance of internal feedback artificial bee colony algorithm (IF-ABC) for protein secondary structure prediction. In Advanced Computational Intelligence (ICACI), 2013 Sixth International Conference on (pp. 33-38). IEEE.)

一个简短的灰色模型计算仿真程序，下载直接到matlab环境下运行即可(a short gray model simulation program, downloaded directly to the Matlab environment can be run under)

Solves part b for three values of p: 0.1, 0.3, 0.5, and 0.8. To solve for other values of p, just change the numbers in the vector p below.