Financial distress prediction using the hybrid associative memory with translation-Reference-Cited by-同舟云学术

Financial distress prediction using the hybrid associative memory with translation

Published:2016-07 Issue: Volume:44 Page:144-152
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Cleofas-Sánchez L.,García V.,Marqués A.I.,Sánchez J.S.

Funder

Mexican CONACYT

Spanish Ministry of Economy

Generalitat Valenciana

Mexican PRODEP

Publisher

Elsevier BV

Subject

Software

Reference81 articles.

1. Neural nets versus conventional techniques in credit scoring in Egyptian banking;Abdou;Expert Syst. Appl.,2008

2. Alpha–beta bidirectional associative memories: theory and applications;Acevedo-Mosqueda;Neural Process. Lett.,2007

3. KEEL data-mining software tool: data set repository, integration of algorithms and experimental analysis framework;Alcalá-Fdez;J. Mult. Valued Log. Soft Comput.,2011

4. KEEL: a software tool to assess evolutionary algorithms to data mining problems;Alcalá-Fdez;Soft Comput.,2009

5. An associative memory approach to medical decision support systems;Aldape-Pérez;Comput. Methods Prog. Biomed.,2012

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