Who we are

Babcock Training Academy

We deliver world-class training in complex systems to AUS/NZ defence, government and high tech markets

Office Address

Babcock Training Academy
Level 10 70 Franklin Street Adelaide  SA  5000

Contact Details

Training Project Support
T:   +61 (0)8 8440 9507
F:   +61 (0)8 8312 3227
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Computational Intelligence & Soft Computing

Course Description

Target Audience

Researchers, scientists and engineers who face challenging problems and cannot solve them by using traditional approaches.

Attend this course and learn:

rule-based expert systems and uncertainty management

fuzzy modeling, artificial neural networks, hybrid neuro-fuzzy systems and genetic algorithms

how to build and use intelligent systems

how do we choose the right tool for the job

Unlike many other courses this one demonstrates that most ideas behind computational intelligence are simple and straightforward.

The course participants need no knowledge of any programming language. The methods used in this course have been extensively tested through several courses given by the presenter for the past decade.

Course Outline

Day 1

Rule-based expert systems

Introduction, or what is knowledge

Rules as a knowledge representation technique

Structure of a rule-based expert system

Forward and backward chaining

Uncertainty management: Bayesian reasoning and certainty factors


Fuzzy systems

Introduction, or what is fuzzy thinking

Fuzzy sets

Fuzzy rules and fuzzy inference

Building a fuzzy system

Summary and Exercises

Artificial Neural Networks

Introduction, or how the brain works

The perceptron

Multilayer neural networks

Self-organising neural networks

Summary and Exercises

Day 2

Evolutionary computation

Genetic algorithms

Case study: maintenance scheduling with genetic algorithms

Evolutionary strategies

Genetic tuning of fuzzy models

Summary and Exercises

Hybrid intelligent systems

Introduction, or how to combine German mechanics with Italian love

Neuro-fuzzy systems

ANFIS: Adaptive Neuro-Fuzzy Inference System

Summary and Exercises

Day 3

Knowledge engineering

What is knowledge engineering?

Will an expert system work for me?

Will a fuzzy expert system work for me?

Will neural networks work for me?

Will genetic algorithms work for me?

Will a hybrid intelligent system work for me?

Summary and exercises

The course includes practical hands-on sessions where participants are given the opportunity to apply in practice the theory they have learnt.

Course Details

Course start
Course end
Individual price
Extra Information To secure your seat please submit a Registration Form. If you are waiting for financial/supervisor approval you are welcome to reserve a seat without commitment. Please note that the course fee is ex GST. We thank you for your interest and look forward to hearing from you.
Course location
Please register your interest in this course by contacting Babcock on +61 (0)8 8440 1498

Register Here!

Registering for one of our courses is easy! Simply fill out one of the below Course Registration Forms and return via email to training@babcock.com.au

Course Registration Form - Individual Registration Form

Course Registration Form - Group Registration Form

Babcock Terms and Conditions


Want to attend a course?

If you would like to register your interest in a course that is not currently being run, please contact us.

GST Terms

All prices shown are Exclusive of GST. GST of 10% will be added to all invoices