Demo_Broadlearning_MNIST

说明：  这几篇文章介绍了佩特利网(Petri网)和Stateflow 的基本概念，给出Petri网在MaⅡab环境下的仿真方法．混合Petri网模型为例进行说明， 结合仿真结果对Peri网的性能进行了初步分析。(This articles describes Pei Teli net (Petri net) and Stateflow basic concepts of Petri nets is given in Ma Ⅱ ab environment simulation. Hybrid Petri net model as an example, simulation results with the performance of Peri network conducted a preliminary analysis.)

说明：  .附件结构: gatbx.rar: (1)gatbx-origin.zip; (2)gatbx-toolbox.rar; (3)gatbx-example.rar 2.调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧,(Annex structure: gatbx.rar: (1) gatbx-origin.zip; (2) gatbx-toolbox.rar; (3) gatbx-Test_fns under the compression package need to be added to Mat. The lab search path can be done, and gatbx-origin is the original version of the toolbox provided by Sheffield University, without any changes, which can be used for comparison. 3. Gatbx-example is the source code of example debugging and the debugging instructions of each example. You can compare it with the original book. 4. It is assumed that the gatbx toolbox is better than the gads toolbox in the new version of MATLAB 7 in familiarizing and understanding the principle and calculation process of genetic algorithm, although it is less visualized than gads.)

matlab在物理化学科学的应用，有相关的统计分析和聚类模型(matlab in physical and chemical science and application of relevant statistical analysis and clustering model)

这是粒子群的算法,采用matlab实现.方便大家学习.(this is PSO arithmetic for matlab implemnet.)

data from IEEE distribution system

matlab code for shadedErrorBar

Plant Classification is the placing of known plants into groups or categories to show some relationship. They use features that can be used to group plants into a known hierarchy. This research focuses on the mobile based application for plant identification through leaf recognition. Apart using the whole plant, the automation of plant identification can be performed using various parts of a plant anatomy like stem, flower, petal, seed and leaf. This study uses the leaf part of the plant to identify a plant. The ease of creating digital images increased the need for processing power of computers and inexpensive methods. In order to gather the information, plant identification using computers has become an interesting subject of research. Global shortage of expert has further increased the demand for semi automated tools that would allow non-botanical persons to carry out valuable field work of identifying and characterizing plants.

设计一个数字FIR低通滤波器，其技术指标如下：Wp=0.2 Rp=0.25 Ws=0.3 As=50(Design a digital FIR low-pass filter, the technical indicators are as follows: Wp = 0.2 Rp = 0.25 Ws = 0.3 As = 50)

说明：  license plate recognition

有关车辆网的连接性的文档，其中包括车辆网的MATLAB仿真模型及结果(An efficient routing protocol for connecting vehicular networks)