资源列表
lapack-3.8.0
- 进行数值计算的著名软件，LAPACK包含了求解科学与工程计算中最常见的数值线性代数问题，如求解线性方程组、线性最小二乘问题、特征值问题和奇异值问题等。(LAPACK is written in Fortran 90 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue
EEGLAB工具箱for matlab
- 经过验证的加州大学圣地亚哥分校所提供的脑电分析EEGLAB工具箱for matlab
eeglab14_1_1b
- eeglab工具箱，安装至matlab，用于脑电信号的处理(Eeglab toolbox, installed to Matlab, for EEG signal processing)
eeglab14_0_0b
- eeglab_14工具箱，eeg分析处理(eeglab_14 toolbox, eeg analysis and processing)
GPstuff_matlab-4.7
- GPtuff发布的关于高斯过程回归的压缩包，非常好用。(GPtuff's compression package for the Gauss process regression is very good.)
tensorflow-master
- Tensorflow源代码，可以很好的理解深度学习的运行机制，帮助更好的实现分类与回归算法。(Tensorflow source code, can be a good understanding of the operation mechanism of in-depth learning, to help better achieve classification and regression algorithm.)
Project-Files(vs2008)
- 二十四点计算器。功能：任意输入四位自然数，利用+ - * /四则运算使之得到结果24.-24.2 Calculator. Function: Enter the four arbitrary natural number, use+-*/arithmetic to be the result of 24.
100416225598eb6b84a8ad6337
- 遗传算法的一些参考书籍，包括matlab遗传算法工具箱的应用、遗传算法的原理及应用、遗传算法程序等-Genetic some reference books, including matlab genetic algorithm toolbox application of the principles and application of genetic algorithm, genetic algorithm procedure
p4vasp_for_windows_install
- 这个windows下可视化晶体结构的软件,可用于构造晶体,界面,表面...对于做第一性原理初始模型的构建以及结果的可视化分析特别有用处.-Under the windows crystal structure visualization software can be used for the crystal structure, interface, surface ... do first principles for the construction of the initial mode
modeling-and-simulation-of-matlab
- matlab模型与仿真教程，适合初学者和科研工作者学习-Matlab model and simulation tutorials, is suitable for beginners and research workers learning
Online-bookstore
- 网上书店是用C#编写的，包括卖书上传书，图书管理等功能比较全面。-Online bookstore, including books, upload it sells books books management etc.
深度学习(中英文双版)
- 深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征，以发现数据的分布式特征表示。(The concept of deep learning stems from the study of artificial neural networks. A multilayer perceptron with a hidden layer is a depth learning structure. Depth le