AI Techniques — Summer 2023

How artificial intelligence is different than conventional intelligence? Briefly describe characteristics and advantages of it.

Differentiate between Crisp logic and Fuzzy logic. Also explain Fuzzy operators like Union, Intersection and complement with suitable example.

Name and describe the main features/elements/steps of Genetic Algorithms.

What is defuzzyfication? Explain any two methods with appropriate examples.

Classify neural network models. Discuss feed forward neural network in brief.

Explain weight updation process in learning of an ANN.

What is Fuzzy interference system? Explain Mamdani and Sujeno inference system with clearly distinguishing them on application basis.

Mention various learning models of the neural network. Discuss the back propagation algorithm in brief.

Describe the importance of genetic algorithm in optimization. How it’s differ from other optimization and search techniques?

Explore construction and working principle and application of Radial Basis Function Networks

Explain following with reference to GA methodology: (1). Initialization (2). Selection (3). Reproduction and (4). Termination

Discuss working of GA using flow chart.

Differentiate Reproduction and Crossover in Genetic Algorithm

Show the application of AI for load forecasting of the power system.

Discuss maintenance schedule of electrical power transmission network using genetic algorithm.

Explain application for Fuzzy logic for voltage control in power system.

Suggest neural network based design for power system security assessment.