Python基础教程（第3版）

说明：  李航老师的统计学习方法，包括老师的PPT等，机器学习很好的一本入门书籍。(Statistical learning methods)

说明：  本书主要针对对人工智能感兴趣，并想要零基础学习强化学习的从事机器学习开发人 员和热衷于深度学习的爱好者。(Reinforcement learning)

crc校验，用来验证发送数据的正确性的一种算法！(CRC check, send data to verify the correctness of an algorithm!)

说明：  机器学习实战（高清 中文版） 作者： Peter 本书通过精心排的实例切入日常工作任务摒弃学术化语言利用高效可复用的Python 代码阐释如何处理统计数据进行数据分析及可视化。读者可从中学到一些核心的机器学习算法并将其运用于某些策略性任务中如分类、预测及推荐等。本书适合机器学习相关研究人员及互联网从业人员学习参考。(Machine learning combat (HD Chinese version) Author: Peter This book cuts into everyday tasks through elaborate examples. Abandoning academic language uses efficient and reusable Python code to illustrate how to process statistics for data analysis and visualization. Readers can learn some core machine learning algorithms and apply them to certain strategic tasks such as classification, prediction, and recommendation. This book is suitable for machine learning related researchers and Internet practitioners to learn reference.)

ANSYS详细的中文帮助-用于Fluent初学者(ANSYS detailed Chinese help)

说明：  ANSYS软件是美国ANSYS公司研制的大型通用有限元分析（FEA）软件，是世界范围内增长最快的计算机辅助工程（CAE）软件，能与多数计算机辅助设计（CAD，computer Aided design）软件接口，实现数据的共享和交换，如Creo, NASTRAN、Algor、I－DEAS、AutoCAD等。是融结构、流体、电场、磁场、声场分析于一体的大型通用有限元分析软件。在核工业、铁道、石油化工、航空航天、机械制造、能源、汽车交通、国防军工、电子、土木工程、造船、生物医学、轻工、地矿、水利、日用家电等领域有着广泛的应用。ANSYS功能强大，操作简单方便，现在已成为国际最流行的有限元分析软件，在历年的FEA评比中都名列第一。目前，中国100多所理工院校采用ANSYS软件进行有限元分析或者作为标准教学软件。(ANSYS learning files)

JPEG 2000 IMAGE CODING SYSTEM: COMFORMANCE TESTING(JPEG 2000 IMAGE CODING SYSTEM: COMFORMANCE TESTINGSTUDY DOCUMENT JPEG 2000 PART IV CD, JULY 2001 THE ISO AND ITU WILL PROVIDE COVER PAGES)

Indy In Depth。indy网络开发技术的深度指南，适合入门、提高各阶段。(Indy In Depth. indy web development technologies depth guide is suitable for entry and improve the various stages.)

说明：  C 语言入门最最经典的一本，作者是 K&R，其中的 R （Dennis M.Ritchie）为 C 语言设计者之一。(The most classic introduction to C language is by K&R, among which R (Dennis M. Ritchie) is one of the C language designers.)

说明：  The objective is to present a nonlinear approach to design a suitable controller system for the photovoltaic (PV) single-phase grid-connected system. The system structure includes a PV generator, Boost converter, and DC-AC inverter coupled to grid network. A backstepping controller is developed to extract maximum point power tracking (MPPT), to regulate the DC bus voltage, and to generate a sinusoidal current into the grid in phase with grid voltage in order to achieve unity power factor. The stability of the control algorithm is demonstrated by tools of Lyapunov analysis. Simulations show that the proposed controller system completely accomplishes listed aims even under atmospheric conditions variation. Theperformance of the proposed controller has been validated by numerical simulation in MATLAB SIMULINK(The objective is to present a nonlinear approach to design a suitable controller system for the photovoltaic (PV) single-phase grid-connected system. The system structure includes a PV generator, Boost converter, and DC-AC inverter coupled to grid network. A backstepping controller is developed to extract maximum point power tracking (MPPT), to regulate the DC bus voltage, and to generate a sinusoidal current into the grid in phase with grid voltage in order to achieve unity power factor. The stability of the control algorithm is demonstrated by tools of Lyapunov analysis. Simulations show that the proposed controller system completely accomplishes listed aims even under atmospheric conditions variation. Theperformance of the proposed controller has been validated by numerical simulation in MATLAB SIMULINK)