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Genetic ink drop spread

Sagha, H ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/IITA.2008.588
  3. Publisher: 2008
  4. Abstract:
  5. This paper describes a genetic-fuzzy system adapted to find efficient partitions on data domains for IDS (Ink Drop Spread). IDS is the engine of Active Learning Method (ALM), a methodology of soft computing. IDS extracts useful information from a system subjected to modeling. Proposed method, called GIDS (Genetic IDS), uses genetic algorithm which optimizes the parameters of membership functions that represent the partitions on data planes. Obtained Results showed that using genetic algorithm to find the partitions has better accuracy than the previous generic IDS methods. © 2008 IEEE
  6. Keywords:
  7. Active learning method ; Data domains ; Data planes ; Genetic-fuzzy system ; Ink drop spread ; Drops ; Fuzzy systems ; Information technology ; Ink ; Membership functions ; Soft computing ; Fuzzy logic
  8. Source: 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, Shanghai, 21 December 2008 through 22 December 2008 ; Volume 2 , January , 2008 , Pages 603-607 ; 9780769534978 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4739835