Extreme learning machine based stock prediction with information theory, genetic algorithm and indicator voting mechanism

• Main Author: Gu, Yi.
• Other Authors: Ma Maode
• Format: Final Year Project
• Language: English
• Published: 2011
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/45862
• Institution: Nanyang Technological University

Stock market is one of the most lucrative markets in the world. As such, it has been the center of attraction for researchers and practitioners. So far, some neural network models, such as BP and SVM, have been applied to stock prediction. However, they are either too slow or easy to converge to loc...