An evolving type-2 neural fuzzy inference system with fuzzy rule interpolation (eT2FIS++) with its application in straddle option trading

• Main Author: Zeng, Ye
• Other Authors: Quek Hiok Chai
• Format: Final Year Project
• Language: English
• Published: 2016
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: http://hdl.handle.net/10356/66662
• Institution: Nanyang Technological University

Fuzzy neural networks are often used for modelling dynamic data streams and the systems keep evolving from offline to online, innovating and adding new schemes to address each individual issue of sparsity, non-linearity and time-variants in the datasets. The research has been widely applied to diffe...