Using Causal Knowledge to Improve Retrieval and Adaptation in Case- based Reasoning Systems for a Dynamic Industrial ProcessET C A L I B ~ &RIQUEMENTET C A L I B ~&RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES

منو

" Using Causal Knowledge to Improve Retrieval and Adaptation in Case- based Reasoning Systems for a Dynamic Industrial ProcessET C A L I B ~ &RIQUEMENTET C A L I B ~&RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	154645
Doc. No	:	ET26437
Main Entry	:	Christopher A. Tighe
Title Proper	:	Using Causal Knowledge to Improve Retrieval and Adaptation in Case- based Reasoning Systems for a Dynamic Industrial ProcessET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Case-based reasoning (CBR) is a reasoning paradigm that starts the reasoning processby examining past similar experiences. Human reasoning often parallels the CBRmethodology when a human remembers past experiences and uses them to.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL50710.pdf
Title and statement of responsibility and	:	Using Causal Knowledge to Improve Retrieval and Adaptation in Case- based Reasoning Systems for a Dynamic Industrial ProcessET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES [Thesis]