Actas de congresos
Adaptive hierarchical censored production rule-based system: A genetic algorithm approach
Fecha
1996-01-01Registro en:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 1159, p. 81-90.
1611-3349
0302-9743
10.1007/3-540-61859-7_9
2-s2.0-84948946531
Autor
Universidade Estadual Paulista (UNESP)
Ministery of Housing Biet Hanoun
Institución
Resumen
An 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.