The potential of the developed multi-dimensional analysis system to assist
interpretation from large data sets through derived digital mapping
models is presented accompanied by preliminary results. The concept
learning model is original and its application general. Applications exist
in general science, engineering, earth resource management and
economics. The developed system incorporates advances in machine
learning, neural networks, object-oriented software engineering,
knowledge representation and fuzzy logic. ' The specific application presented involves automatic earth resource
modelling and assessment involving geological theories of mineral
potential. The developed system functions as a new and powerful mineral
exploration tool, To date the model has been trialled on an earth resource
database and several published data sets. A more general potential
application is knowledge discovery within databases. The specific theory
that is tested in the experimental results is the nature of the cause-effect
relationship between the hypothesised geological causes and the
measured effects within a previously published test survey. Also integrated here are a neurophysiological cerebellar model of
human learning, a new concept similarity measure for pattern
recognition, modelled components to explain human concept formation
through knowledge discovery and a means of permanent
representation.The implementation is as a new artificial neural network
architecture functioning as a hybrid expert system. Understanding of programmed concept learning is extended through
the model. Also established is a basis for a new approach to multivariate
data analysis. Spatial analysis for decision support is integrated over
many dimensions, relationships, data types and data modes. Application of the developed methodology and system adds value to
data bases. Discovered knowledge is represented as new generalisations,
interpolations, classification hierarchies, aggregations and associations
within a dynamic, maintainable and reusable integrated knowledge
framework. New digital knowledge products and intelligent access follow.
Permanently stored, maintainable, easily accessible and discovered
knowledge improves decisions through extended hypothesis testing,
spatial data analysis and inferencing, prediction, logical deductions and
explanations.