Micro-syllabus of Artificial Neural Networks [ANN] [ Elective 2 ]

ANN marks obtained in final exam according to past year question pattern 2078, model question

Unit 1: Introduction to Neural Network (4 Hrs.)

Unit 2: Rosenblatt’s Perceptron (3 Hrs.)

Unit 3: Model Building through Regression (5 Hrs.)

Unit 4: The Least-Mean-Square Algorithm (5 Hrs.)

Unit 5: Multilayer Perceptron (8 Hrs.)

Unit 6: Kernel Methods and Radial-Basis Function Networks (7 Hrs.)

Unit 7: Self-Organizing Maps (6 Hrs.)