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教会我们怎样把ABAQUS HE MATLAB LIAN JIE QI LAI

量子微粒群算法工具箱Quantum particle swarm optimization toolbox(Quantum particle swarm optimization toolbox)

对于遥感图像上的地物进行提取，运用Matlab中的Edge函数实现(For remote sensing image on the features extracted using the Matlab implementation of the Edge Function)

背包问题遗传算法matlan主程序集合很有用(Knapsack problem genetic algorithm matlan main collection of useful)

说明：  非线性独立分量分析(ICA)源码,主要是用于非线性ICA进行盲源分离算法的函数(independent component analysis (ICA))

基于matlab的光伏电池半物理仿真系统的研究 本文从原理上得出简化的光伏电池板数学模型，并分析了在阴影条件下光伏电池板的运行规律，并加以改善，从而得到比较完善的光伏电池板模型。将光伏电池模型在 Matlab/Simulink 中建模并仿真，在 PC机上得出光伏电池 V-I,V-P 特性。最后将 PC 机上 Matlab/Simulink 建立的光伏电池模型通过 AD/DA 板卡于外界真实量交互，为在 Matlab/Simulink 上搭建光伏系统能量提供部分的半物理仿真提出了可行性和合理性。(Research on Photovoltaic Battery Semi-Physical Simulation System Based on Matlab In this paper, a simplified mathematical model of photovoltaic panels is derived in principle, and the operating rules of photovoltaic panels under shadow conditions are analyzed and improved to obtain a more complete photovoltaic panel model. The photovoltaic cell model was modeled and simulated in Matlab/Simulink, and the PV cell V-I, V-P characteristics were obtained on the PC. Finally, the photovoltaic cell model established by Matlab/Simulink on the PC is interacted with the actual amount through the AD/DA board, providing feasibility and rationality for the semi-physical simulation of building photovoltaic system energy on Matlab/Simulink.)

本文介绍了matlab的主要函数指令表及图像处理的matlab实现。(This article describes the main function of the matlab command table and to achieve matlab image processing.)

solving job shop scheduling problem with setup times by Tabu Search Algorithm

实现快速c均值聚类，能快速有效的对图像实现聚类分割，效果不错。(Rapid c-means clustering, can quickly and effectively split the image clustering, good results.)

基于卡尔曼滤波和粒子滤波的简单比较，用于高机动目标时时定位，以减少精度损失来换取目标跟踪定位时时性。(Relatively simple Kalman filter and particle filter-based positioning for high maneuvering targets time to time, in order to reduce the loss of precision target tracking in exchange for sex time to time.)