Digital ANFIS Model Design
Prasad R. Pande1, Prashant L. Paikrao2, Devendra S. Chaudhar3
1Prasad R. Pande, Department of Electronics and Telecommunication Engineering, Government College of Engineering, Amravati, India.
2Prashant L. Paikrao, Electronics and Telecommunication Engineering, Government College of Engineering, Amravati, India.
3Devendra S. Chaudhari, Electronics and Telecommunication Engineering, Government College of Engineering, Amravati, India.
Manuscript received on February 03, 2013. | Revised Manuscript received on February 27, 2013. | Manuscript published on March 05, 2013. | PP: 314-318 | Volume-3 Issue-1, March 2013. | Retrieval Number: A1387033113/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Neuro-Fuzzy systems are hybrid intelligent systems which combine features of both paradigms- fuzzy logic and artificial neural networks. Adaptive Neuro Fuzzy Inference System (ANFIS) is one of such architecture which is widely used as solution for various real world problems. This paper describes development of an ANFIS model for FPGA implementation. Model can be realized with hardware descriptive language thus making it reusable, reconfigurable and independent of applications. This digital ANFIS firmware can be proven to be optimal solution in terms of cost, speed of operation and flexibility in design methodology.
Keywords: ANFIS, Digital System, FPGA, HDL, Neuro-Fuzzy System.