Downloads: 124
Research Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015
Design of An Adaptive Neuro-Fuzzy Inference System for Floating Point Function Generation using CORDIC Algorithm
Priyanka V. Titare | Girish R. Talmale
Abstract: In this paper a digital system architecture for ANFIS (Adaptive Neuro-Fuzzy Inference System) using Cordic algorithm is presented. Co-ordinate Rotation Digital Computer (CORDIC) is a device which is excessively used in recent DSP applications, due to its simple approach. Its well designed approach utilizes only add and shift operations instead of multipliers. The proposed system will be used for floating point function generation. Firstly, a floating point function is chosen and training is carried out which is called as the off-line training using MATLAB ANFIS. This is used to get the parameters like premise and consequence of the fuzzy rules. Simulation is performed to verify the operation of the system for given input data.
Keywords: Neuro-fuzzy, ANFIS, CORDIC, Digital System, floating point
Edition: Volume 4 Issue 5, May 2015,
Pages: 494 - 497
Similar Articles with Keyword 'ANFIS'
Downloads: 111
Research Paper, Computer Science & Engineering, India, Volume 7 Issue 9, September 2018
Pages: 1248 - 1253Smart Non Redundant Data Extraction for Efficient Testing
Downloads: 118 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 5 Issue 6, June 2016
Pages: 1077 - 1083Data Mining Application in Diabetes Diagnosis using Biomedical Records of Pathological Attribute
Naila [4] | Anuradha Sharma [5]