- LO1: To introduce concepts of Bio-inspired Computing and its applications
- LO2: To provide insight on Artificial Neural Networks
- LO3: To introduce Fuzzy logic and Fuzzy Systems
- LO4: To provide knowledge on optimization algorithms
Course Name | Bio-Inspired Computing |
Program | M. Tech. in Biomedical Instrumentation and Signal Processing ( Proposed to be RENAMED as M-Tech Biomedical Engineering & AI)* |
Credits | 3 |
Neural networks – Artificial neurons – Activation functions – Learning rules – Supervised and Unsupervised Learning – Single layer and multilayer perceptron – Kohenen’s self-organizing networks – Hopfield networks. Fuzzy systems – Fuzzy sets and relations – Membership functions – Rule base reduction methods – Decision making with fuzzy information – Fuzzy classification and pattern recognition – Neuro-fuzzy systems. Introduction to genetic algorithms – Parent selection – Crossover – Mutation – Genetic Programming – Particle Swarm Optimization – Ant colony optimization – Artificial immune systems – Case Studies – Fuzzy region growing for segmentation of calcifications in mammograms – Classification of normal and ectopic beats using neural networks – Image registration using hybrid bio-inspired approaches.
DISCLAIMER: The appearance of external links on this web site does not constitute endorsement by the School of Biotechnology/Amrita Vishwa Vidyapeetham or the information, products or services contained therein. For other than authorized activities, the Amrita Vishwa Vidyapeetham does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this web site.