混凝土开裂有限元分析

说明：  刘海洋编著的LaTeX入门书籍，适合初学者阅读。(LaTeX introductory book compiled by Liu Haiyang, suitable for beginners to read.)

VC程序有很多很有用的程序在里面希望大家喜欢啊(net)

说明：  《深度学习》由全球知名的三位专家Ian Goodfellow、Yoshua Bengio 和Aaron Courville撰写，是深度学习领域奠基性的经典教材。全书的内容包括3个部分：第1部分介绍基本的数学工具和机器学习的概念，它们是深度学习的预备知识；第2部分系统深入地讲解现今已成熟的深度学习方法和技术；第3部分讨论某些具有前瞻性的方向和想法，它们被公认为是深度学习未来的研究重点。(Deep learning, written by three famous experts in the world, is a classic textbook in the field of deep learning. The book consists of three parts: the first part introduces the basic mathematical tools and the concept of machine learning, which are the preparatory knowledge of deep learning; the second part systematically explains the mature deep learning methods and technologies; the third part discusses some forward-looking directions and ideas, which are recognized as the future research focus of deep learning.)

说明：  电机的弱磁控制，可以当作参考进行学习，包括很多模块(The flux weakening control of the motor can be used as a reference)

作者: David M. Beazley / Brian K. Jones 出版社: 人民邮电出版社 原作名: Python Cookbook 3rd Edtioni 译者: 陈舸 出版年: 2015-5-1 页数: 684 定价: 108.00元 装帧: 平装 ISBN: 9787115379597 《Python Cookbook（第3版）中文版》介绍了Python应用在各个领域中的一些使用技巧和方法，其主题涵盖了数据结构和算法，字符串和文本，数字、日期和时间，迭代器和生成器，文件和I/O，数据编码与处理，函数，类与对象，元编程，模块和包，网络和Web编程，并发，实用脚本和系统管理，测试、调试以及异常，C语言扩展等。(The Python Cookbook (Version 3) Chinese version introduces some tips and methods for using Python in various fields, covering topics such as data structures and algorithms, strings and text, numbers, dates and times, iterators, and builds File and I / O; Data Encoding and Processing; Functions; Classes and Objects; Meta-programming; Modules and Packages; Web and Web Programming; Concurrency; Utility Scripting and Systems Management; Testing; Debugging; Anomalies;)

this is a nice math formating book: intro to latex, tutorial

说明：  利用ANSYS软件，进行有限元分析。介绍有限元方法、有限元类型、结构分析方法、传热分析方法等。(The finite element analysis is carried out by using ANSYS software.The finite element method, finite element type, structural analysis method and heat transfer analysis method are introduced.)

用于项目开发的好书(project development for the books)

acm大赛题，(acm contest that, well good)

说明：  基于核主成分分析法的GA_BP神经网络短期用电负荷预测，很不错的文章研究遗传算法，BP神经网络，核主成分(GA_BP Neural Network Based on Kernel Principal Component Analysis (KPCA) for short-term load forecasting. This paper studies genetic algorithm, BP Neural Network and Kernel Principal Component.)