专利名称 | PREDICTING REAL PROPERTY PRICES USING A CONVOLUTIONAL NEURAL NETWORK | ||
申请号 | US15255687 | 申请日 | |
公开(公告)号 | US20180068329A1 | 公开(公告)日 | |
申请(专利权)人 | International Business Machines Corporation | 发明人 | Raghu K Ganti; Swati Rallapalli; Mudhakar Srivatsa |
专利来源 | 国家知识产权局 | 转化方式 | |
摘要 |
A subset of a set of image data is input into a trained convolutional neural network (CNN), the subset of image data including several of digital images, each image including a depiction of a real estate property at a different zoom level. By executing the CNN, a set of features is extracted from the subset of image data, a feature in the set of features being unrepresented in the subset of image data, and where the feature is derived from a depiction in the subset of image data. Using a set of node values configured at a set of nodes in a layer of the CNN, and using the set of features, a combined value of the set of features is computed, relative to the real estate property. A predicted price of the real estate property is predicted, by executing the CNN, using the combined value. |
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