work

本文详细的介绍了systemc的TLM建模方法，并给出了详细的例子，是学习systemc很不错的材料(This paper introduces systemc of TLM modeling method, and gives a detailed example of this is a very good material to learn systemc)

数字pid控制方法及分类的一些M文件 如增强式pid控制算法(Digital pid control method and the classification of some M files Such as increased type pid control algorithm)

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)

Matlab是一套功能强大的技术计算（technical computing）软件工具，就数据采集方面来说，它集中了信号采集（它内置一些著名厂商的数据采集卡驱动程序），信号分析（计算），可视化（绘图），文件处理（存盘，打印等）各方面功能于一体，而且很容易开发出WINDOWS图形用户界面（Graphical user interface，缩写为GUI）.(Matlab is a powerful technical terms (technical computin g) software tools, data acquisition is concerned, It concentrates the signal acquisition (which built some well-known manufacturers of data acquisition card driver), signal analysis (calculated), Visualization (graphics), document processing (save, print, etc.) all functions into one. it is very easy to develop Windows graphical user interface (Graphical user inter face, the initials for GUI).)

离散Hopfield神经网络的分类优化计算,在M ATLAB中完美运行(Calculation of classification optimization of discrete Hopfield neural networks, function perfectly in the M ATLAB)

Medicinal plants carry significant information for the development of human society and are considered as necessary resource for human well-being. Plants are of plenty of use as they form the base for food chain and a lot of medicines are derived plants. Plants are also vitally important for environmental protection. Two main plant aspects of plant taxonomy that play a vital role in these actions are the identification and classification of plants. Plant Identification is the determination of the identity of an unknown plant in comparison with previously collected specimen. The process of recognition connects the specimen with a botanical name. Once this connection is established, related details like name and other properties of the plant can be easily obtained.

神经计算的实验作业。用principle components analysis计算模式的主分量。提取线性输入的特征。(Neural computing experiment operations. Computing model using principle components analysis of the principal component)

matlab中双目识别和三维重建可能会用到的图片，给需要的朋友(matlab recognition in the eyes and three-dimensional image reconstruction may be used to give a friend in need)

说明：  s法提取背景，为实现运动目标检测打下基础 matlab (s extraction of background, to lay the foundation for moving target detection matlab)

本程序实现了对1-D和2-D Ising model的解决(How to solve the 1-d and 2-d ising model)