Complex-valued neuro-fuzzy inference system for wind prediction

• Main Authors: Suresh, Sundaram, Subramanian, K., Savitha, R.
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/97939; http://hdl.handle.net/10220/12380
• Institution: Nanyang Technological University

In this paper, we present a complex-valued neuro-fuzzy inference system (CNFIS) and its gradient descent based learning algorithm developed employing Wirtinger calculus. The proposed CNFIS is a four layered network which realizes zero-order Takagi-Sugeno-Kang based fuzzy inference mechanism. CNFIS i...