boostconv

说明：  使用直线段替换管道时的土壤温度场模拟，采用有限容积方法。(Replace the pipe using the straight line when the soil temperature field simulation, finite volume method.)

detection of image change

入门matlab很好的实例教程。通俗易懂，适合初学者。(introductory Matlab good example and guidance. Easily understood, for beginners.)

我用的实现图像分水岭分割的代码！感觉还可以，要用的自己拿去改改(I use the watershed segmentation of image code!)

CNN - Convolutional neural network class

一个高斯热液羽流模型，利用粒子随机行走方法编写的一个程序，简单实用(A Gaussian model of hydrothermal plume, using random walk particle method of preparation of a process, simple and practical)

主要是通过matlab编写设计一个矩形窗的程序(Written mainly by matlab program to design a rectangular window)

流水线型车间作业调度问题可以描述如下：n个任务在流水线上进行m个阶段的加工，每一阶段至少有一台机器且至少有一个阶段存在多台机器，并且同一阶段上各机器的处理性能相同，在每一阶段各任务均要完成一道工序，各任务的每道工序可以在相应阶段上的任意一台机器上加工，已知任务各道工序的处理时间，要求确定所有任务的排序以及每一阶段上机器的分配情况，使得调度指标(一般求Makespan)最小。下面的源码是求解流水线型车间作业调度问题的遗传算法通用MATLAB源码，属于GreenSim团队原创作品，博客上发布的是不完全的源码，本人将其补充完成已成功运行，转载请注明GreenSim团队原创作品。(Pipelined job-shop scheduling problem can be described as follows: n tasks on the assembly line m processing stages, each stage has at least one machine and at least one stage there are multiple machines, and the same processing performance of each machine on the same stage , at every stage to complete each task are a process, each process of each task can be processed on any machine on the corresponding stage of the processing time of each process known tasks, all tasks required to determine the sort and every Distribution of the machine on a stage, making scheduling index (typically seek Makespan) Min. The following code is a Genetic Algorithm for Job Shop Scheduling Problem pipelined general MATLAB source code, original works belong GreenSim team, the blog post is incomplete source code, I will supplement has been successfully completed its operation, please indicate the original team GreenSim works.)

IDT法模态参数识别，可识别频率，阻尼比和振型系数。(The IDT Law modal parameter identification)

介绍用matlab进行有限元计算的国外经典著作，前面重点介绍了有限元的相关内容，后面重点讲解了如何利用matlab的工具箱实现有限元的计算。(This book gives a background treatment of the Galerkin method in Chaps. 2–4. Topics such as developing weak formulations as prelude to solving the finite element equation, interpolation functions, derivation of elemental equations, assembly and sample solutions were treated in these chapters. Chapter 5 gives an overview on the use of the pdetoolbox. Chapter 6 and 7 give different sample problems and their solutions on heat transfer and elasticity in Materials Engineering.)