资源列表
A-Star-solve-8NUM
- 人工智能-八数码问题A-STAR算法的实现及性能分析。包括C++源代码，有代码注释，理解轻松。-Artificial Intelligence- eight digital issues A-STAR algorithm and performance analysis. Including C++ source code, code notes, easy to understand.
A-star-8num
- 人工智能中A*算法解决八数码问题，c++源代码，vs2010编写实现，效果很好，代码有注释，方便理解-AI A* algorithm to solve eight digital problem, c++ source code, vs2010 prepared to achieve good results, code annotated, easy to understand
NQueen(pa-shan-fa)
- 人工智能-爬山法解决N皇后问题，vs2010编写，代码有注释，可轻松理解。-AI- climbing method to solve the N-Queens problem, vs2010 written code annotated, easy to understand.
ICA-face-recognition
- 本程序是基于ICA（独立成分分析）方法进行人脸识别，人脸库已经给出，有需要的童靴自行下载-This procedure is based on ICA (independent component analysis) method for face recognition, face database has been given, there is a need to download children' s boots
RBM
- 用C语言实现的深度学习的RBM(受限玻尔兹曼机)，是组成DBN网络的基本结构-Using C language to achieve deep learning of RBM
SAE
- 深度学习中稀疏编码的C语言程序,是根据斯坦福深度学习的教程MATLAB的代码改写的-Depth learning sparse coding in C language program is based on the Stanford deep learning tutorial MATLAB code rewrite
Deep_Belief_Nets
- 深度学习中的深信度网（DBN）的C语言的简单实现-Convinced degree of deep learning network (DBN) to achieve a simple C language
Denoising_Autoencoders
- 深度学习中去噪自动编码算法的C语言的简单实现-Depth study denoising automatic coding algorithm C language to achieve a simple
Stacked_Denoising_Autoencoders
- 每层以去噪自动编码算法训练，以栈式结构组成深度的学习结构-Noising algorithm to automatically encode each training to the depth of the stack structure consisting learning structure
svm-demo
- 一个svm的演示程序，能演示两类数据分类，有gui界面，不使用第三方工具箱，使用gaussian核函数，界面能设置c和gamma的参数值，最后可以得到分类情况的可视化效果。针对svm算法的研究者和用于教学演示的教师，是个不错的源码。-An svm demo program that can demonstrate two types of data classification, gui interface, do not use third-party toolbox, using gauss
traveller3
- 一些解决中国邮递员问题的算法及源代码 c语言或者c-Some Chinese postman problem solving algorithm and source code c language or c++
DuckLakeSegmentation_SVM
- 用svm实现图片中目标的提取。ColorPix.exe为图片rgb值读取小软件，littleduck.jpg为目标图像。DuckLakeSegmentation_SVM.m为主程序，使用时可以选取图片处于目标位置像素点的rgb值作为特征训练svm。可以使用任意图片，通过修改主程序的DuckTrainData和LakeTrainData里面的rgb值即可-Svm achieve the target image using the extraction. ColorPix.exe rgb valu