Type 2 fuzzy neural network for strangle-based option trading

• Main Author: Seah, Kevin Zhixiang.
• Other Authors: Quek Hiok Chai
• Format: Final Year Project
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: http://hdl.handle.net/10356/55140
• Institution: Nanyang Technological University

Many existing neural fuzzy systems are capable of self-learning and adapt their initial structure as well as their parameters. These systems are also known as evolving neural fuzzy systems. One such example is the evolving Type-2 fuzzy inference system, eT2FIS. It is common that these evolving syste...