02 September, 2023

Objective of the Session:

The Department of Electrical Engineering organized an expert lecture on “Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System (ANFIS)” on 2nd September 2023 for the students of the 7th semester.

The session was delivered by Dr. Shweta Shah, Associate Professor at Indus University, who has vast academic and research experience in the domains of artificial intelligence, neural networks, and intelligent control systems.

Dr. Shah began the lecture with an introduction to the concept of Artificial Neural Networks (ANNs), explaining the biological inspiration, basic structure, and functioning of neurons, layers, and activation functions. She emphasized the use of ANN in solving complex, non-linear, and data-driven problems across engineering fields.

She then elaborated on the Adaptive Neuro-Fuzzy Inference System (ANFIS), describing how it combines the learning ability of neural networks with the reasoning approach of fuzzy logic. She highlighted its importance in developing adaptive control systems, decision-making models, and predictive analysis tools.

The lecture also covered practical applications of ANN and ANFIS, including:

• Load forecasting in power systems
• Fault diagnosis and condition monitoring
• Renewable energy integration
• Pattern recognition and classification problems

Dr. Shah presented case studies and research examples to demonstrate the effectiveness of these intelligent techniques in real-world applications.

The session concluded with an interactive Q&A round, where students clarified their doubts about implementing ANN and ANFIS in MATLAB/Simulink and explored their scope in final-year projects and research.

Outcome

Students understood the fundamentals and applications of Artificial Neural Networks and ANFIS. They gained insights into how intelligent systems can be applied in electrical engineering. The lecture motivated students to use AI-based approaches in academic projects and research work.