系统辨识与自适应控制MATLAB仿真

CPLD_FPGA的入门资料.pdf格式,非常清晰.不可多得的入门级资料.(CPLD_FPGA introductory information. Pdf format, is very clear. A rare entry-level information.)

说明：  What is data structure? A data structure is a way of organizing data that considers not only the items stored, but also their relationship to each other. Advance knowledge about the relationship between data items allows designing of efficient algorithms for the manipulation of datList out the areas in which data structures are applied extensively?  Compiler Design,  Operating System,  Database Management System,  Statistical analysis package,  Numerical Analysis,  Graphics,  Artificial Intelligence,  Simulation

卫星图像分析基础 包括可见光云图、红外云图、水汽云图(The basis of satellite image analysis)

一位学术界大师写的PPT，如何写出世界级的好paper(how to write a world class paper)

说明：  东北大学信息学院操作系统的课件，主讲老师是王大玲，很好的资料，本科生必备！(Northeastern university institute of information of the operating system courseware, the teacher is WangDaLing, very good material, the undergraduate must own!)

计算机图形学原理及实践：C语言描述（英文版.第2版） pdf格式(Computer Graphics Principles and Practice 2nd Edition in C pdf format)

说明：  《Python网络数据采集》 第一部分　创建爬虫 第1章　初见网络爬虫 2 1．1　网络连接 2 1．2　BeautifulSoup简介 4 1．2．1　安装BeautifulSoup 5 1．2．2　运行BeautifulSoup 7 1．2．3　可靠的网络连接 8 第2章　复杂HTML解析 11 2．1　不是一直都要用锤子 11 2．2　再端一碗BeautifulSoup 12 2．2．1　BeautifulSoup的find()和findAll() 13 2．2．2　其他BeautifulSoup对象 15 2．2．3　导航树 16 ……(Python Network Data Acquisition)

说明：  直流电动机驱动控制集成电路L293D简介，希望对大家有帮助(DC motor driver IC L293D control profiles, we hope to help)

说明：  这也是一本线性代数的教材，其讲法十分现代，抛弃了行列式为主的传统讲法，直接紧扣线性代数中最核心的算子理论。(This is also a textbook of linear algebra. Its teaching method is very modern, abandoning the traditional teaching method based on the determinant, and directly following the core operator theory in linear algebra.)

本书论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related theory, combined with the BP neural network, RBF neural network, SVM, SOM neural network, grey neural network, decision tree, random forest, wavelet neural network and NARX neural network, optimization algorithm and neural network.)