Biological foundation mathematical model of biological neuron types of activation function
feed-forward and feedback ANN models.
02
Learning Paradigms
12 Lectures
Supervised and unsupervised learning
Neural Networks and Fuzzy Logic | Syllabus | College Platform - NITH
learning rules
single layer and multilayer perceptron
model
error back propagation learning algorithm
pattern classification
clustering
Kohonen
self-organizing feature map
radial basis function network
support vector machines
Hopfield
network
Associative memory and BAM
applications of ANN models to engineering problems.
03
Fuzzy Sets and Theory
10 Lectures
Crisp sets fuzzy sets fuzzy set operations properties membership functions measures of
fuzziness fuzzification and defuzzification methods fuzzy relations operation on fuzzy
relations fuzzy numbers and arithmetic fuzzy implications approximate reasoning systems
based on fuzzy rules fuzzy inference.
04
Fuzzy Control Systems
4 Lectures
Introduction fuzzy logic controllers with examples special forms of fuzzy logic models
classical fuzzy control problems.
05
Hybrid Intelligent Systems
5 Lectures
Genetic algorithms neuro-fuzzy systems adaptive neuro-fuzzy inference system
evolutionary neural networks fuzzy evolutionary systems.
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