Improving Neural Classification with Markov Chain View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2005

AUTHORS

Inhaúma Ferraz , Ana Cristina B. Garcia

ABSTRACT

Neural classifiers have been successfully used to determine rock properties in offshore oil reservoirs. However, the precision of those classifiers must be improved given the great cost resulting from errors when defining the quality of an oil reservoir. This paper presents a post-processing method based on the Markov chain that improved the classifier precision rate in 6%. More... »

PAGES

599-602

Book

TITLE

AI*IA 2005: Advances in Artificial Intelligence

ISBN

978-3-540-29041-4
978-3-540-31733-3

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/11558590_60

DOI

http://dx.doi.org/10.1007/11558590_60

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042196387


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