资源列表
Complex network algorithms
- 理解和学习 混沌、混沌同步、复杂网络的完全同步判据、复杂网络时滞系统的的同步判据、提高复杂网络同步能力的方法等内容(Understand and study the synchronization of chaos and chaos, the complete synchronization criterion of complex networks, the synchronization criterion of complex networks, time-delay systems,
ZipDo_lib
- 简单的使用开源代码实现zip文件的添加和删除这一个还没有实现解压缩，其实也很简单.-Simple to use open source code zip file to add, and delete this one also does not unzip, is actually very simple.
MATLAbebook
- matlab的一些经典书籍。基础与应用，综合辅导，小波分析
neural-network-and-Matlab
- 本书重点介绍了ＭＡＴＬＡＢ６.５神经网络工具箱中各种神经网络模型及基本理论，以及各种神经网络模型的MATLAB仿真程序设计方法，提供了MATLAB中神经网络工具箱函数的详解，对图形用户界面、SIMULINK和自定义神经网络等内容也进行了简介。-This book focuses on the neural network toolbox MATLAB6.5 various neural network models and basic theory, and a variety of neura
深度学习之TensorFlow：入门、原理与进阶实战
- 该压缩文件是《深度学习之Tensorflow的入门、原理及进阶实战》，里面讲述了如何搭建TensorFlow环境，并讲述了深度学习的一些理论基础知识，而且通过例子进行辅助，能更好的理解掌握。(The compressed file is "Introduction, Principle and Advanced Combat of Tensorflow for Deep Learning", which describes how to set up the TensorFl
pb6
- 水声信道自适应均衡算法研究-Underwater acoustic channel adaptive equalization algorithm
Mahout算法解析与案例实战
- Mahout包含许多实现，包括聚类、分类、推荐过滤、频繁子项挖掘。此外，通过使用 Apache Hadoop 库，Mahout 可以有效地扩展到云中。(Mahout includes many implementations, including clustering, classification, recommendation filtering, frequent sub item mining. In addition, by using the Apache Hadoop librar
SmartGridDoc
- 智能电网文章合辑，包括国外的一些已翻译的文章-Smart Grid article compilations, including some foreign articles have been translated
dk
- 这是何强matlab扩展编程一书的完整源代码。以MATLAB扩展编程及其应用实例为主线,以MATLAB与C 程序、Visual Basic、Excel、网络和系统硬件的接口为核心,采用图文并茂的方式、简捷明快的手法和通俗易懂的语言,配合大量的代码实例以及一个简单的语音识别系统的具体实现。-This book of MATLAB programming and its applications expand as the main line, MATLAB and C program, Visua
PCLR
- External Patch Prior Guided Internal Clustering for Image Denoising源码-External Patch Prior Guided Internal Clustering for Image Denoising
hw7
- voice recognation with ica matlab
src
- 无人平台小车，能在ROS环境下的gazebo中实现激光雷达生成二维点云图、自动避障等功能(The unmanned platform car can generate two-dimensional point cloud image and avoid obstacles automatically in the gazebo of ROS environment)