表面肌电获取与分析系统用户手册

这是一本很好的一本书，很管用，谢谢大家支持。(This is a book about study chemistry ,thank your help.)

说明：  The ink screen, as you can see,

说明：  信息论基础.rar 很前卫的书籍 对于信息与计算科学及通信工程很有帮助啊 希望大家多上载此类的书(information theory foundation. Rar very avant garde books for Information and Computer Science and Communication Engineering helpful ah hope everyone on the book contains such)

有关进程注入的方法的小结，对初学者有很大的帮助。(The process approach into the summary, very helpful for beginners.)

霍夫变换和广义霍夫变换算法详细讲解和实现，英文讲义，讲解详细( Hough Transform GHT)

MATLAB SIMULINK DFIG

有需要 倍福入门教程的 话，可以下载哈哈哈(You can download the Beifu introductory tutorial if you need it.)

说明：  本书共有43章，内容涵盖常见的神经网络（BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等）以及相关智能算法（SVM、决策树、随机森林、极限学习机等）。同时，部分章节也涉及了常见的优化算法（遗传算法、蚁群算法等）与神经网络的结合问题。此外，本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性，如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc)

MATLAB+R2014a完全自学一本通，电子书籍，完整的一本书，可以从其中学习matlab详细的知识(MATLAB+R2014aCompletely self-taught)

Deep Learning With Python_中文版 --本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱（Franc?ois Chollet）执笔，详尽介绍了用Python和Keras进行深度学习的探索实践，包括计算机视觉、自然语言处理、产生式模型等应用。书中包含30多个代码示例，步骤讲解详细透彻。(Chinese Version - This book is written by Franc OIS Chollet, the father of Keras and current researcher of Google Artificial Intelligence. It introduces in detail the exploratory practice of in-depth learning with Python and Keras, including computer vision, natural language processing, production model and other applications. The book contains more than 30 code examples with detailed steps.)