Adaptive hierarchical censored production rule-based system: A genetic algorithm approach

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorMinistery of Housing Biet Hanoun-
Autor(es): dc.creatorBharadwaj, K. K.-
Autor(es): dc.creatorHewahi, Nabil M.-
Autor(es): dc.creatorBrandao, Maria Augusta-
Data de aceite: dc.date.accessioned2025-08-21T16:33:22Z-
Data de disponibilização: dc.date.available2025-08-21T16:33:22Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued1996-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/3-540-61859-7_9-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/228077-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/228077-
Descrição: dc.descriptionAn adaptive system called GBHCPR (Genetic Based Hierarchical Censored Production Rule) system based on Hierarchical Censored Production Rule (HCPR) system is presented that relies on development of some ties between Genetic Based Machine Learning (GBML) and symbolic machine learning. Several genetic operators are suggested that include advanced genetic operators, namely, Fusion and Fission. An appropriate credit apportionment scheme is developed that supports both forwardand backward chaining of reasoning process. A scheme for credit revision during the operationsof the genetic operators Fusion and Fission is also presented. A prototype implementation is included and experimental results are presented to demonstrate the performance of the proposed system.-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionDCCE / IBILCE / UNESP-
Descrição: dc.descriptionComputer Centre Ministery of Housing Biet Hanoun-
Descrição: dc.descriptionDCCE / IBILCE / UNESP-
Descrição: dc.descriptionCNPq: 301597/95-2-
Formato: dc.format81-90-
Idioma: dc.languageen-
Relação: dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectGenetic algorithm-
Palavras-chave: dc.subjectHierarchical censored production rules-
Palavras-chave: dc.subjectMachine learning-
Título: dc.titleAdaptive hierarchical censored production rule-based system: A genetic algorithm approach-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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