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Python程序设计与算法基础教程
说明: Python程序设计与算法基础教程,利用Python进行ABAQUS的二次开发(Python Basic Course of Programming and Algorithms, Secondary Development of ABAQUS with Python)
- 2020-06-22 20:20:01下载
- 积分:1
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Ubuntu_Linux_SYXXJC
包括2个内容:1.Ubuntu实用学习教程Ubuntu菜鸟教程2.Ubuntu详解及使用教程
(Include 2 content: 1.Ubuntu practical study tutorial Ubuntu rookie tutorial 2.Ubuntu explain and use tutorial)
- 2017-01-14 20:12:03下载
- 积分:1
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matlab7.0tongjichuli
高阶累积书籍,包含了双谱,1.5维谱的讲解和编程,值得拥有(High-end accumulation of books, including the bispectrum, lectures and programming 1.5 dimensional spectrum, worth having)
- 2016-10-14 09:59:52下载
- 积分:1
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《书把手教你学CAN总线》.pdf
说明: 手把手带你学can 让你轻松学习can编程与单片机(Hands take you to learn can so that you can easily learn can programming and microcontroller)
- 2020-09-21 10:37:53下载
- 积分:1
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文件
说明: 《Python语言在Abaqus中的应用》(曹金凤板)书中例子源码。("Python language in ABAQUS application" (Cao jinfengban) book example source code.)
- 2020-08-16 22:38:56下载
- 积分:1
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fluent python
流畅的python,mobi+pdf两种格式(fluent python.mobi+pdf two formats)
- 2017-11-08 11:23:56下载
- 积分:1
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2011-2012tongxinyuanli
本书讲述移动通信原理,系统地介绍了移动通信的历史,现状,未来,详细地分析了移动通信的基本技术原理(Book about mobile communications theory, systematic introduction to the history, current status of mobile communication, the future, detailed analysis of the basic technical principles of mobile communication)
- 2013-02-28 12:46:44下载
- 积分:1
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《MATLAB在数学建模中的应用》源程序
经典的建模书籍配合matlab 使用,对于本科生建模非常有用(The classic modeling books are used with MATLAB, which is very useful for undergraduate modeling.)
- 2018-09-20 20:03:46下载
- 积分:1
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InternetofThings_summary
The functions design of software system is shown in Fig.8. There are some automatic or intelligent algorithms for analyzing and processing the sensed data to be implemented in the system. They are self-adaptive
- 2010-03-09 17:16:32下载
- 积分:1
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统计学习方法(李航)
说明: 统计学习是计算机及其应用领域的一门重要的学科本书全面系统地介绍了统计学习的主要方法,特别是监督学习方法,包括感知机、K近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归、与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(Statistical learning is an important subject in the field of computer and application of this book comprehensively systematically introduces the main methods of statistical learning, especially the supervision method of study, including the perception, K neighbor method, naive bayesian method, decision tree, logistic regression, and the maximum entropy model, support vector machine (SVM), promotion methods, the EM algorithm, the hidden markov model and conditional random field, etc.)
- 2020-06-20 11:20:02下载
- 积分:1