资源列表
libsvm-3.21
- 此代码是林教授开发的支持向量机的源代码，需要编译器进行编译，才能采用matlab使用。-This code is developed by Professor Lin support vector machine source code, the compiler needs to compile, in order to use the MATLAB to use.
cudb
- MIT-BIH CUDB 详细心电信号，可用于分类VT/VF 与 NSR-MIT-BIH CUDB detailed ECG can be used to classify VT/VF and NSR
program
- 书籍《谢金鑫优化建模与LINGO》的配套例程，内有优化建模习题的LINGO代码，直接运行即可求解。-Books, Xie Jinxin modeling and optimization LINGO matching routines, there LINGO optimization modeling exercises code can be run directly solved.
PSO
- 此代码为关于粒子群算法的程序，并且附有其说明-This code is on particle swarm optimization program, and with the descr iption
CHNN_for_clustering
- 关于CHNN在聚类算法中的应用,是来自于IEEE的文章.
ada_2.0-1
- Adaboost，一种很流行的机器学习算法。用matlab实现的。-Adaboost, a very popular machine learning algorithm. Achieved using matlab.
knight(use-ASTAR)
- A*算法解决knight难题，利用A*算法人工智能地寻找最佳路径-A* algorithm to solve the knight problem using the A* algorithm to find the best path to artificial intelligence
Two-level-Particle-Filter-Based-Lane-Detection-for
- 提出了基于2层粒子滤波数据融合的道路检测框架.通过道路检测算法的2个主要模块:特征 提取和道路参数估计,同时引入粒子滤波算法,并以支持向量机(SVM)识别道路模型、初始化粒子滤波器提高算法的环境适应性,以期找到基于机器视觉的道路检测算法在鲁棒性和实时性之间更好的平衡点. -Since the normal monocular-vision based lane detection algorithms for outdoor applications sel- dom conside
DeepLearnToolbox_CNN_lzbV3.0
- CNN - 主程序 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者：陆振波 电子
mc-cnn
- 通过深度神经网络实现双目视觉下图像深度识别，需要运行在linux环境中-Achieve recognition image depth through binocular visual depth at the neural network, you need to run in the linux environment
rstree
- 基于内容的多媒体数据库检索算法： 用于最近邻搜索的R*-tree算法-content-based multimedia database search algorithm : Nearest Neighbor Search for the R *- tree algorithm
aa
- 基于旋量的机器人运动学及动力学分析，是一种新的研究机器人运动学及动力学的方法-Based on spinor analysis of robot kinematics and dynamics