LINUX-UNIX设计思想

说明：  适合入门及进阶的100个VHDL练习题，从易到难(100 VHDL exercises for beginners and advanced students, from easy to difficult)

J.B.Rawlings and D.Q.Mayne所著的 模型预测控制的理论和设计(Model Predictive control: Theory and Design)

计算机图形学网络课程(network computer graphics courses)

java五子棋程序源代码,java五子棋程序源代码

关于verilog编程的电子书。比较基础，比较全面。(a book about verilog coding)

计算机故障排除方法，很有用的电子书，不错的教程。(Computer troubleshooting methods, useful e-books, good tutorial.)

基于非负矩阵分解算法进行盲信号分离(based on non-negative matrix factorization algorithm for Blind Signal Separation)

说明：  求解在不同多模纤芯半径下，单模-多模-单模光纤结构中激发出的各阶模式的耦合系数大小比较，可修改参数。(Solving at different radius of the multimode core, single-mode- Multimode- coupling coefficient of each order mode excited in a single mode optical fiber structure size comparison, the parameters can be modified.)

主要是介绍matlab的使用，利于初学者学习与提高。(It mainly introduces the use of MATLAB, which is good for beginners to learn and improve.)

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)