A hybrid convolutional neural networks with sparse coding for intelligent future trading strategy design

碩士 === 國立交通大學 === 資訊管理研究所 === 105 === This paper proposed a series of hybrid deep learning methods which combine convolutional neural networks (CNN) and convolutional sparse coding to enhance the performance of intelligent financial data analysis. The idea of this hybrid model is to utilize three me...

Full description

Bibliographic Details
Main Authors: Chen, Jou-Fan, 陳柔帆
Other Authors: Chen, An-Pin
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/542jp8