49275 Neural Networks and Fuzzy Logic

6cp; 3hpw; availability: all courses

Requisite(s): 120 credit points of completed study in C10061 Bachelor of Engineering Diploma in Engineering Practice OR 120 credit points of completed study in C10066 Bachelor of Engineering Science OR 120 credit points of completed study in C10067 Bachelor of Engineering

These requisites may not apply to students in certain courses.

There are also course requisites for this subject. See access conditions.

Postgraduate
Subject coordinator: Professor H Nguyen

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).

For detailed information, see the full subject description at:
http://www.eng.uts.edu.au/CurrentStudents/postgraduate/postgraduate_subject_descriptions/49275.htm

Typical availability

Autumn semester, City campus

Fee information

2007 contribution for post-2004 Commonwealth-supported students: $889.75
2007 amount for undergraduate domestic fee-paying students: $2,370.00
Subject EFTSL: 0.125
Note: The above fees are applicable in 2007 for Commonwealth-supported students who commenced after 2004 and domestic fee-paying undergraduate students only. Pre-2005 Commonwealth-supported students should consult the Student contribution charges for Commonwealth supported students webpage.
Not all students are eligible for Commonwealth supported places, and not all subjects are available to Commonwealth supported students. Domestic fee-paying students and international students should refer to the Fees webpage.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at Access conditions and My Student Admin.