Doctoral dissertation at the University of Technology / Department of Electrical Engineering discussing (An Optimized FPGA Realization of Adaptive Neuro-Fuzzy Inference System)

The Department of Electrical Engineering awarded a PhD degree to (Najma Abdul Habib) for her thesis titled:

“An Optimized FPGA Realization of Adaptive Neuro-Fuzzy Inference System”.

Eight methods were proposed to design and optimize the exponential function on FPGA. This function was used to build the Gaussian membership function. In addition, five techniques were proposed to implement the reciprocal function which is very useful in designing the Bell membership function and the normalization process in the third layer of ANFIS. The results showed that the best representation of the exponential and reciprocal function are Method Equivalent and ROM approach, respectively. II MFs by FPGA Using FPGA, the most popular membership functions were designed and optimized for the best representation of the exponential and reciprocal function. Seven methods have been adopted to design the Gaussian and Bell functions, where a modified precomputation approach has less hardware resources for both functions according to the methods. Moreover, five methods are proposed to build the organic optimized functions Triangular and Trapezoidal. Hardware implementation reports show that the best design in terms of low area for Triangular function is the properties symmetrical approach and for Trapezoidal function is the VHDL method. Finally, an ANFIS-based Ackley function is designed by FPGA and optimized using seven proposed methods. The word length optimization approach shows a good reduction in the number of physical hardware chips, LUTs, and DSP48s when applied in the second and third layers. The rest of the new proposals have achieved impressive results in reducing the number of electronic elements. Reducing the multiplication units in the second and third layers shows a further reduction in DSP48 units.

The discussion committee consisted of Prof. Dr. Adhid Hassan Salomi / Chairman, Prof. Dr. Thamer Rashid Saeed / Member, Prof. Dr. Moayad Sadiq Kruk / Member, Prof. Dr. Atheer Alaa Sabri / Member, Prof. Dr. Wissam Hassan Ali / Member and Prof. Dr. Saad Mutashar Abbas / Member and Supervisor.
The discussion concluded by awarding the student a doctorate degree in electronic and telecommunications engineering with a distinction of excellence.