The principal objective of this subject is to introduce students to neural networks and fuzzy theory from an engineering perspective. In the identification and control of dynamic systems, neural networks and fuzzy systems can be implemented as model-free estimators and/or controllers. As trainable dynamic systems, these intelligent control systems can learn from experience with numerical and linguistic sample data.
Assessment: Three assignments (25 per cent), project (50 per cent), final examination (25 per cent).
Autumn semester, City campus
2008 contribution for post-2008 Commonwealth-supported students: $907.50
Note: Students who commenced prior to 1 January 2008 should consult the Student contribution charges for Commonwealth supported students
Not all students are eligible for Commonwealth Supported places.
2008 amount for undergraduate domestic fee-paying students: $2,430.00
Note: Fees for Postgraduate domestic fee-paying students and international students are charged according to the course they are enrolled in. Students should refer to the Annual Fees Schedule.
Subject EFTSL: 0.125