bp

本例子分群是用硬式分群的方式,也就是結果非 0 即 1,最後會在畫圖來顯示結果,適合初學者學習(The example of grouping is the way hard grouping, which is the result of non-0 or 1, the last in the drawing to show the results, suitable for beginners to learn)

说明：  matlab数学手册，比较适合有基础的读者使用，适合数学分析或者数据分析(matlab mathematics manuals, more suitable for readers based on the use of mathematical analysis or data analysis for)

帮助大家学习matlab和mathmatica(help you learn matlab)

Peter Kovesi 编制的Harris角点检测Matlab程序(Peter Kovesi prepared by Harris corner detection Matlab procedures)

惯性导航的工具箱，对IMU的导航计算利用Matlab进行了全面的仿真，非常适合IMU导航算法、组合导航算法的研究(Inertial navigation toolbox IMU navigation calculation using Matlab comprehensive simulation, very suitable for the IMU navigation algorithm, integrated navigation algorithm)

matpower4.1相关文件，用于实现matpower仿真30节点数据(matpower4.1 relevant documents for the 30 node data matpower simulation)

Relays with throughput put analysis

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.

program for calculating load flow in power system

Large Area DEM Generation Using Airborne LiDAR Data and Quality Control