资源列表
Strategy
- 关键词：人工智能课大作业 四子棋 策略文件 阿尔法贝塔剪枝算法-Keywords: artificial intelligence courses operating four sons chess strategy documents Alpha Beta pruning algorithm
DeepLearnToolbox
- DeepLearnToolbox是Matlab的深度学习工具箱，包含了深度信度网络DBN，卷积网络CNN，SAE（stacked auto-encoders）,CAE(Convolutional auto-encoders)和NN深度学习算法的实现。-DeepLearnToolbox is a MATLAB toolbox about depth learning, contains realizations of deep belief network DBN, convolutional n
deep-speed-constrained-ins-master
- 基于深度学习的约束捷联带的速度估计智能手机惯性导航(DEEP LEARNING BASED SPEED ESTIMATION FOR CONSTRAINING STRAPDOWN INERTIAL NAVIGATION ON SMARTPHONES)
PG_DEEP-master
- A fast learning algorithm for deep belief nets 文章代码-2006 A fast learning algorithm for deep belief nets
PG_DEEP-master
- 深度学习之深信度网络的c++实现版本，基于作者论文的matlab 代码。代码风格简单易懂，实现了cd算法，bp算法微调的过程-C++ convinced depth learning of the network implementation version, based on the author' s thesis matlab code. Code is easy to understand style, realized cd algorithm, bp algorithm tri
HeuristicLab-3.3.7
- Heuristic 算法库。包含很多算法，包括蚁群算法，遗传算法，模拟退火算法，禁忌搜索算法。-Heuristic algorithms library. Contains many algorithms, including the ant colony algorithm, genetic algorithm, simulated annealing, tabu search algorithm.
data_berka
- 代码中几乎每一行都有自己的注释，参看算法的思想和步骤再来看应该不难 相应的测试函数以及测试数据集也一并上传（Iris，Balance-scale，Glass），程序中写的是绝对路径，需要自己改下(Almost every line of the code has its own comments, see the idea and steps of the algorithm look should not be difficult The corresponding test functi
UiTSP
- 采用开源遗传库EO基于遗传算法的TSP问题，采用qt界面，后台算法与前台界面多线程-Genetic libraries using open-source EO TSP problem based on genetic algorithm, using qt interface, the interface with the front desk back multi-threaded algorithm
CNNSVM-master
- 先利用卷及神经网络提取数据特征，再加svm进行分类-The first use of volume and neural network feature extraction data, together with the classification svm
Masaike_Detection
- 视频在解码过程中，有时候需要检测是否含有马赛克帧，及时去除以提高视频质量。这里利用多线程，实现了视频解码过程中马赛克实时检测。-Video in the decoding process, and sometimes need to detect whether it contains mosaic frame, timely removal to improve the video quality. Here the use of multi-threaded, to achieve the
kddcup.data
- kddcup99数据集，ids测试数据集，很经典的-kddcup99 dataset ids set of test data, it is classic
docProcess
- 获取文档集合的向量空间,输入文本文件集合，程序按照tfidf权重计算每个文档中每个词的权重。最后输出所有文档的特征向量。-acquire the vector space of documents