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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications



Preface
The past two decades have seen an explosion of renewed interest in the areas of Artificial Intelligence and
Information Processing. Much of this interest has come about with the successful demonstration of real-world
applications of Artificial Neural Networks (ANNs) and their ability to learn. Initially proposed during the
1950s, the technology suffered a roller coaster development accompanied by exaggerated claims of their
virtues, excessive competition between rival research groups, and the perils of boom and bust research
funding. ANNs have only recently found a reasonable degree of respectability as a tool suitable for achieving
a nonlinear mapping between an input and output space. ANNs have proved particularly valuable for
applications where the input data set is of poor quality and not well characterized. At this stage, pattern
recognition and control systems have emerged as the most successful ANN applications.
In more recent times, ANNs have been joined by other information processing techniques that come from a
similar conceptual origin, with Genetic Algorithms, Fuzzy Logic, Chaos, and Evolutionary Computing the
most significant examples. Together these techniques form what we refer to as the field of Knowledge-Based
Engineering (KBE). For the most part, KBE techniques are those information and data processing techniques
that were developed based on our understanding of the biological nervous system. In most cases the
techniques used attempt, in some way, to mimic the manner in which a biological system might perform the
task under consideration.
There has been intense interest in the development of Knowledge-Based Engineering as a research subject.
Undergraduate course components in KBE were first conducted at the University of South Australia in 1992.
Popularity of many aspects of Information Technology has been a world-wide phenomenon and, KBE as part
of information technology, has followed accordingly. With a background of high demand from undergraduate
and postgraduate students, the University of South Australia established a Research Centre in
Knowledge-Based Engineering Systems in 1995. Since then the Centre has developed rapidly. Working in
this rapidly evolving area of research has demanded a high degree of collaboration with researchers around
the globe. The Centre has many international visitors each year and runs an annual international conference
on KBE techniques. The Centre has also established industrial partners with some of the development
projects. This book, therefore, is a natural progression in the Centre’s activities. It represents a timely
compilation of contributions from world-renowned practicing research engineers and scientists, describing the
practical application of knowledge-based techniques to real-world problems.

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