QML-Morven: A Novel Framework for Learning Qualitative Differential Equation Models using Both Symbolic and Evolutionary Approaches

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3 Citations (Scopus)

Abstract

In this paper, a novel qualitative differential equation model learning (QML) framework named QML-Morven is presented. QML-Morven employs both symbolic and evolutionary approaches as its learning strategies to deal with models of different complexity. Based on this framework, a series of experiments were designed and carried out to: (1) investigate factors that influence the learning precision and minimum data requirement for successful learning; (2) address the scalability issue of QML systems.
Original languageEnglish
Pages (from-to)795–808
Number of pages13
JournalJournal of Computational Science
Volume5
Issue number5
Early online date18 Jun 2014
DOIs
Publication statusPublished - Sep 2014

Keywords

  • qualitative reasoning
  • learning qualitative differential equation models
  • artificial immune systems
  • backtrackign with forward checking

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