It is recommended that students enrolled in this subject have completed introductory programming or introductory control subjects

It is recommended that students enrolled in this subject have completed introductory programming or introductory control subjects Offerings: All

3hpw, on campus Offerings: All

Engineers Australia Stage 1 Competencies Students enrolled in the Master of Professional Engineering should note that this subject contributes to the development of the following Engineers Australia Stage 1 competencies: <ul> <li>1.3. In-depth understanding of specialist bodies of knowledge within the engineering discipline.</li> <li>1.4. Discernment of knowledge development and research directions within the engineering discipline.</li> <li>2.1. Application of established engineering methods to complex engineering problem solving.</li> <li>2.2. Fluent application of engineering techniques, tools and resources.</li> <li>3.3. Creative, innovative and pro-active demeanour.</li> <li>3.6. Effective team membership and team leadership.</li> </ul>

Engineers Australia Stage 1 Competencies Students enrolled in the Master of Professional Engineering should note that this subject contributes to the development of the following Engineers Australia Stage 1 competencies: <ul> <li>1.3. In-depth understanding of specialist bodies of knowledge within the engineering discipline.</li> <li>1.4. Discernment of knowledge development and research directions within the engineering discipline.</li> <li>2.1. Application of established engineering methods to complex engineering problem solving.</li> <li>2.2. Fluent application of engineering techniques, tools and resources.</li> <li>3.3. Creative, innovative and pro-active demeanour.</li> <li>3.6. Effective team membership and team leadership.</li> </ul> Offerings: All

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Neural Networks and Fuzzy Logic

49275 - Neural Networks and Fuzzy Logic

This subject introduces you to neural networks and fuzzy theory with an engineering focus, offering hands-on experience and professional practice integration. You&#39;ll learn how these intelligent systems can identify and control dynamic systems without pre-existing models, using numerical and linguistic data to learn and adapt. Through practical examples, you&#39;ll develop expertise in applying neural networks and fuzzy logic to real-world engineering applications.

Graduate School of Health

Engineering

Communication

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Transdisciplinary Innovation

Health

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Education

Science

Business

Information Technology

Creative Intelligence and Innovation

Apply analytical thinking, research methodologies, and advanced problem-solving skills to successfully implement a neural network, convolutional deep network, or fuzzy logic system, addressing complex real-world engineering challenges. (C.1)

Gain proficiency in fundamental and advanced theories related to neural networks and fuzzy logic, and apply this knowledge to address real-world engineering problems. (D.1)

Collaborate to manage and conduct research projects using neural networks and fuzzy logic. (E.1)

Handbook

49275 - Neural Networks and Fuzzy Logic

6 Credit points