Kozato, F., De Wilde, Philippe (1991) Probabilistic rule-based system in artificial neural networks. In: IEE Conference Publication. 1991 Second International Conference on Artificial Neural Networks. (349). pp. 153-158. IEEE ISBN 0-85296-531-1. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:58068)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. |
Abstract
A new hybrid system of rule-based systems and artificial neural networks is proposed. After the system description, we discuss how a rule-based system is implemented into a series of artificial neural networks.
| Item Type: | Conference or workshop item (Paper) |
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| Uncontrolled keywords: | Probability--Random Processes, Artificial Neural Networks(ANN); Rule-Based Systems, Neural Networks |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
| Depositing User: | Philippe De Wilde |
| Date Deposited: | 03 Jan 2023 16:29 UTC |
| Last Modified: | 05 Nov 2024 10:49 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/58068 (The current URI for this page, for reference purposes) |
University of Kent Author Information
De Wilde, Philippe.
| Creator's ORCID: |
 https://orcid.org/0000-0002-4332-1715
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