A complex-valued neuro-fuzzy inference system and its learning mechanism

• المؤلفون الرئيسيون: Suresh, Sundaram, Subramanian, K., Savitha, R.
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2014
• الموضوعات: DRNTU::Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/102605; http://hdl.handle.net/10220/18958
• المؤسسة: Nanyang Technological University

In this paper, we present a Complex-valued Neuro-Fuzzy Inference System (CNFIS) and develop its meta-cognitive learning algorithm. CNFIS has four layers-an input layer with m rules, a Gaussian layer with K rules, a normalization layer with K rules and an output layer with n rules. The rules in the G...