文件名称:HousePrice(gradient-descent)
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Windows] [Visual.Net] [源码]
- 上传时间：
- 2015-02-07
- 文件大小：
- 1.63mb
- 下载次数：
- 0次
- 提 供 者：
- 余
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
利用机器学习算法实现南京房价预测。已知2000年至2013年的南京房价，利用梯度下降法预测2014年南京房价。-Nanjing using machine learning algorithm to predict prices. Known 2000-2013 Nanjing prices, using the gradient descent method to predict 2014 Nanjing prices.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
HousePrice(gradient descent)\Debug\HousePrice(gradient descent).exe
............................\.....\HousePrice(gradient descent).ilk
............................\.....\HousePrice(gradient descent).pdb
............................\HousePrice(gradient descent)\Debug\CL.read.1.tlog
............................\............................\.....\CL.write.1.tlog
............................\............................\.....\HousePrice(gradient descent).lastbuildstate
............................\............................\.....\HousePrice(gradient descent).log
............................\............................\.....\houseprice.obj
............................\............................\.....\link-cvtres.read.1.tlog
............................\............................\.....\link-cvtres.write.1.tlog
............................\............................\.....\link-rc.read.1.tlog
............................\............................\.....\link-rc.write.1.tlog
............................\............................\.....\link.read.1.tlog
............................\............................\.....\link.write.1.tlog
............................\............................\.....\vc110.idb
............................\............................\.....\vc110.pdb
............................\............................\HousePrice(gradient descent).vcxproj
............................\............................\HousePrice(gradient descent).vcxproj.filters
............................\............................\houseprice.cpp
............................\HousePrice(gradient descent).sdf
............................\HousePrice(gradient descent).sln
............................\HousePrice(gradient descent).v11.suo
............................\............................\Debug
............................\Debug
............................\HousePrice(gradient descent)
HousePrice(gradient descent)