A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems

Daniel C. Neagu

2004

Abstract

In this paper, a framework of a unified neural and neuro-fuzzy approach to integrate implicit and explicit knowledge in hybrid intelligent systems is presented. In the developed hybrid system, training data used for neural and neuro-fuzzy models represents implicit domain knowledge. On the other hand, the explicit domain knowledge is represented by fuzzy rules, directly mapped into equivalent connectionist structures. A formal model for a hybrid intelligent system implemented as neural, neuro-fuzzy and fuzzy modules is proposed. Furthermore, this paper explores the influences of the main identified parameters of the proposed model on the accuracy of the hybrid intelligent system in a predictive data mining application.

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Paper Citation


in Harvard Style

Neagu D. (2004). A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems . In Proceedings of the First International Workshop on Artificial Neural Networks: Data Preparation Techniques and Application Development - Volume 1: ANNs, (ICINCO 2004) ISBN 972-8865-14-7, pages 49-59. DOI: 10.5220/0001149700490059


in Bibtex Style

@conference{anns04,
author={Daniel C. Neagu},
title={A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems},
booktitle={Proceedings of the First International Workshop on Artificial Neural Networks: Data Preparation Techniques and Application Development - Volume 1: ANNs, (ICINCO 2004)},
year={2004},
pages={49-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001149700490059},
isbn={972-8865-14-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Workshop on Artificial Neural Networks: Data Preparation Techniques and Application Development - Volume 1: ANNs, (ICINCO 2004)
TI - A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems
SN - 972-8865-14-7
AU - Neagu D.
PY - 2004
SP - 49
EP - 59
DO - 10.5220/0001149700490059