Knowledge Specification for Versatile Hybrid Intelligent Systems
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by Daniel Neagu, Marian Viorel Craciun, Qasim Chaudhry
http://pythia.inf.brad.ac.uk/sc4068.pdf
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Abstract:
Abstract: The increasing amount and complexity of data used in predictive data mining call for new and flexible approaches based on hybrid intelligent methods to mine the data. This paper proposes a formal description for integrated data structures of Hybrid Intelligent Systems and the specification language HISML based on the open XML standard, introduced to fill the gap between simple soft computing models and complex models based on explicit and implicit knowledge represented as modular structures. First results of applying the proposed specification language in predictive toxicology using clusters and original modular hybrid intelligent models are also presented.
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