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

How to Cite?: Priyanka V. Titare, Girish R. Talmale, "Design of An Adaptive Neuro-Fuzzy Inference System for Floating Point Function Generation using CORDIC Algorithm", Volume 4 Issue 5, May 2015, International Journal of Science and Research (IJSR), Pages: 494-497, https://www.ijsr.net/getabstract.php?paperid=SUB154081, DOI: https://dx.doi.org/10.21275/SUB154081