MBNR: Case-Based Reasoning with Local Feature Weighting by Neural Network

Issue Title: Special Issue: Soft Computing in Case Based Reasoning Our aim is to build an integrated learning framework of neural network and case-based reasoning. The main idea is that feature weights for case-based reasoning can be evaluated by neural networks. In this paper, we propose MBNR (Memo...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2004-11, Vol.21 (3), p.265-276
Hauptverfasser:	Park, Jae Heon, Im, Kwang Hyuk, Shin, Chung-Kwan, Park, Sang Chan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Construction Intelligence Learning Neural networks Reasoning Studies Trains Weighting
Online-Zugang:	Volltext
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