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专家系统与矿物勘探 被引量:2

Expert system and mining exploration
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摘要 根据专家系统的知识获取环节、知识表达环节、知识库、解译环节等功能环节,结合矿物勘探的特点,建立了矿物勘探数据库.文中还提出了对地质探矿的不确定知识,如模糊性、不完全性、非确定性和多义性的表示方法. Based on the functional links of expert system, such as knowledge obtaining, knowledge expression, knowledge base and interpretation, combined with the characteristics of mining exploration, the data base for mining exploration was established. The representation for nondeterministic knowledge including blurring, incompleteness, nondeterminacy and ambiguity in geological mining exploration was also proposed in this paper.
出处 《福建农业大学学报》 CSCD 1998年第1期96-101,共6页 Journal of Fujian Agricultural University
关键词 专家系统 数据库 矿物勘探 expert system data base mining exploration
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  • 1Geoffrey G. Towell,Jude W. Shavlik. Extracting Refined Rules from Knowledge-Based Neural Networks[J] 1993,Machine Learning(1):71~101 被引量:1
  • 2Richard Maclin,Jude W. Shavlik. Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou–Fasman Algorithm for Protein Folding[J] 1993,Machine Learning(2-3):195~215 被引量:1
  • 3Jude W. Shavlik,Raymond J. Mooney,Geoffrey G. Towell. Symbolic and neural learning algorithms: An experimental comparison[J] 1991,Machine Learning(2):111~143 被引量:1

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