资源列表
HRD5-26
- 一个简单的华容道的算法；很适合初学者学习参考。-a simple algorithm HuaRong Road; Very suitable for beginners learning reference.
jiugongchongpai
- 九宫重排，一种基于人工智能，图搜索的源码，功能自己看吧-JiuGongTu rearrangement, based on artificial intelligence, map search source code, their function Look here
PR_ten_algorithms
- 模式识别中的十大基本算法，经典的实现方法，花了本人很大功夫，本着为人民服务的原则，现挥泪上传！-pattern recognition of the 10 basic algorithm, the classic method, I spent a lot of time and energy. the principle of serving the people, are faced uploads!
tuxiangjiance11
- 图象的检测，模板匹配算法代码 这个是这学期老师编写的~也拿来用-image detection, template matching algorithm code is the teacher this semester also prepared for use ~
stochastic_opt
- 一个启发式搜索算法 给初学者用的 随便参考着用 提供了多种策略-a heuristic search algorithm for beginners with the casual reference to using a variety of strategies
spacewarping
- 使用BDA实现三维模型相关反馈的算法 注：算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 -use 3D model relevance feedback algorithm Note : algorithm using 3D model from the eigenvectors of the PSB model automatically from the 3D model features DESIRE to volume
LDAretrievalNew
- 使用LDA实现三维模型相关反馈的算法注：1、使用本系统必须在本地计算机上安装matlab 2、算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 3、本系统自带评测机制-use 3D model relevance feedback algorithm Note : 1. Use of this system must be installed on the local computer Matlab 2, algorithm using 3D model fro
KBDAretrieval
- 使用KernelBDA实现三维模型相关反馈的算法注：1、使用本系统必须在本地计算机上安装matlab 2、算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 3、本系统自带性能评测机制-KernelBDA use 3D model relevance feedback algorithm Note : 1. Use of this system must be installed on the local computer Matlab 2, algorit
BDAretrieval
- 使用BDA实现三维模型相关反馈的算法 注：1、使用本系统必须在本地计算机上安装matlab 2、算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 3、本系统自带性能评测机制-use 3D model relevance feedback algorithm Note : 1. Use of this system must be installed on the local computer Matlab 2, algorithm using 3D
HRD_Calculate
- 华容道算法的人工智能解题程序，实现最优解-HuaRong Road algorithm artificial intelligence problem solving process and achieve optimal solution
RandomForestCversion
- 组合学习算法的新方法--随机森林(Random Forest,RF),用于处理高维问题,可以得到满意的效果!-composition of the new learning algorithm methods -- random forests (Random Forest, RF) for the treatment of high-dimensional problem, it can be satisfied with the results!
BDK-SOMPLS
- 有监督自组织映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用语多变量数据的回归分析-supervised self-organizing map - Partial Least Squares (A supervised self-org anising map - partial least squares algorithm) , terms of the multi - var