python-2.6

本书示例丰富,图文并茂,以简明易懂的方式阐释了算法,旨在帮助程序员在日常项目中更好地利用 算法为软件开发助力。前三章介绍算法基础,包括二分查找、大 O 表示法、两种基本的数据结构以及递归 等。余下的篇幅将主要介绍应用广泛的算法,具体内容包括 :面对具体问题时的解决技巧,比如何时采用 贪婪算法或动态规划 ;散列表的应用 ;图算法 ;K 最近邻算法。 本书适合所有程序员、计算机专业相关师生以及对算法感兴趣的读者(This book is rich in examples and illustrates algorithms in a concise and easy-to-understand way. It aims to help programmers make better use of algorithms in daily projects to help software development. The first three chapters introduce the basic algorithms, including binary search, large O representation, two basic data structures and recursion. The rest of the paper will focus on the widely used algorithms, including: when to use greedy algorithm or dynamic programming, hash table application, graph algorithm, K nearest neighbor algorithm when facing specific problems. This book is suitable for all programmers, computer-related teachers and students, and readers interested in algorithms.)

自己写的文章，总结了s函数的使用方法，并且实现了风速与风机的模拟，希望对相关的人有启示(Write your own article, summed up the s function to use, and to achieve a simulated wind speed and fan, I hope the relevant people have inspiration)

很好的学习C++的教程，这是第七章至第十二章的PPT(Good learning C++ s Guide, which is under Chapter VII to XII of the PPT)

Describe: Then a voice feature extraction procedures source, in addition to containing matrix and vector operations, it also includes many voice feature extraction algorithm, including : Formant (formant) extraction

神经网络是一种模拟人脑的神经网络，以期能够实现类人工智能的机器学习 技术。 本书揭示神经网络背后的概念，并介绍如何通过Python实现神经网络。全书 分为3章和两个附录。第1章介绍了神经网络中所用到的数学思想。第2章介绍使 用Python实现神经网络，识别手写数字，并测试神经网络的性能。第3章带领读 者进一步了解简单的神经网络，观察已受训练的神经网络内部，尝试进一步改善 神经网络的性能，并加深对相关知识的理解。附录分别介绍了所需的微积分知识 和树莓派知识。 本书适合想要从事神经网络研究和探索的读者学习参考，也适合对人工智 能、机器学习和深度学习等相关领域感兴趣的读者阅读。(Python Neural Network Programming)

浪潮之巅，一本非常不错的书，介绍了信息技术的发展的一些代表企业的历程。(Wave of the summit, a very good book on the development of information technology course some representatives of enterprises.)

本文档包括３个文件，Ｄｕｄａ写的Pattern Classification(2Ed)，这是关于模式识别很经典得一本书，还有中文版支持向量机导论，以及林智仁06年机器学习暑期学校讲义(This document contains 3 files, Duda wrote Pattern Classification (2Ed), this is a classic on the pattern recognition was a book, there is the Chinese version of introduction to support vector machines, and Lin Zhiren Machine Learning Summer School 2006 lecture notes)

GBT_17626.4-2008_电磁兼容_试验和测量技术_电快速瞬变脉冲群抗扰度试验.pdf(GBT_17626.4-2008_ _ EMC test and measurement techniques _ electrical fast transient burst immunity test)

foxtrader c language interfaces

Wigner-ville函数的ppt教程，可应用于信号的处理(Ppt tutorials Wigner-ville function can be applied to signal processing)