CSE5301

Neural networks and Fuzzy Systems ( 6 points, SCA Band 2, 0.125 EFTSL)

Leader:

Offered:
Not offered in 2006.

Synopsis: Mathematical and computational fundamentals of artificial neural networks and fuzzy systems, and their applications in signal andimage processing, pattern recognition and modelling. Neurocomputing topics: the perceptron and linear neural networks; multi-layer feedforward neural networks; related learning algorithms; self-organising systems, principal component analysis; competitive learning, vector quantization; self-organising feature maps and recurrent neural networks. Fuzzy system topics: fuzzy sets, arithmetic and relations; fuzzy logic, membership functions; fuzzy inference and fuzzy systems; fuzzy logic controllers and predictors; adaptive neuro-fuzzy inference systems.

Assessment: 50% reports and assignments + 50% final examination (2 hours)

Contact Hours: 2 hours lectures

Prerequisites: MAT 1811/1812 or MAT 1841/1830 or equivalent, and 2 years or more of study in a computing related course