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Journal of Computer Science and Technology

, Volume 8, Issue 4, pp 379–384 | Cite as

DKBLM — Deep knowledge based learning methodology

  • Zhifang Ma
Research Notes

Abstract

To solve the Imperfect Theory Problem (ITP) faced by Explanation Based Generalization (EBG), this paper proposes a methodology, Deep Knowledge Based Learning Methodology (DKBLM) by name, and gives an implementation of DKBLM, called Hierarchically Distributed Learning System (HDLS). As an example of HDLS's application, this paper shows a learning system (MLS) in meteorology domain and its running with a simplified example.

DKBLM can acquire experiential knowledge with causality in it. It is applicable to those kinds of domains, in which experiments are relatively difficult to carry out, and in which there exist many available knowledge systems at different levels for the same domain (such as weather forecasting).

Keywords

Machine learning explanation based learning deep knowledge 

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Copyright information

© Science Press, Beijing China and Allerton Press Inc. 1993

Authors and Affiliations

  • Zhifang Ma
    • 1
  1. 1.Dept. of Computer ScienceJilin UniversityChangchun

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