A symbolic neuro-fuzzy collaborative approach for inducing knowledge in a pharmacological domain

A symbolic neuro-fuzzy collaborative approach for inducing knowledge in a pharmacological domain

This paper discusses the experiments conducted with two conceptually different machine learning systems in a pharmacological domain related to the use of different excipients in drug production. It shows how a symbolic system can be used, in a collaborative way, to help a neuro-fuzzy system to induc...

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Hauptverfasser: Nicoletti, M.C., Ramer, A., Nicoletti, M.A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Australia
Collaboration
Drugs
Fuzzy neural networks
Fuzzy sets
Fuzzy systems
Knowledge engineering
Learning systems
Neural networks
Production systems
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Beschreibung
Zusammenfassung:This paper discusses the experiments conducted with two conceptually different machine learning systems in a pharmacological domain related to the use of different excipients in drug production. It shows how a symbolic system can be used, in a collaborative way, to help a neuro-fuzzy system to induce a more appropriate set of fuzzy rules.
DOI:10.1109/IFIC.2000.862460