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Volumn 8, Issue 6, 1995, Pages 301-311

Dynamically adding symbolically meaningful nodes to knowledge-based neural networks

Author keywords

computational biology; KBANN algorithm; network growing algorithms; theory refinement

Indexed keywords

ALGORITHMS; BIOLOGY; COMPUTATION THEORY; DATA STRUCTURES; DIGITAL ARITHMETIC; HEURISTIC METHODS; INFERENCE ENGINES; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; NATURAL SCIENCES COMPUTING;

EID: 0029505748     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/0950-7051(96)81915-0     Document Type: Article
Times cited : (25)

References (35)
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  • 6
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    • Computer Sciences Department, University of Wisconsin at Madison, USA
    • (1991) PhD Thesis
    • Towell1
  • 9
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    • Combining connectionist and symbolic learning to refine certainty-factor rule-bases
    • (1993) Connection Science , vol.5 , Issue.3-4 , pp. 339-364
    • Mahoney1    Mooney2
  • 14
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    • The upstart algorithm a method for constructing and training feedforward neural networks
    • (1990) Neural Computation , vol.2 , Issue.2 , pp. 198-209
    • Frean1
  • 24
    • 0002704818 scopus 로고
    • A practical Bayesian framework for backpropagation networks
    • (1992) Neural Computation , vol.4 , Issue.3 , pp. 448-472
    • MacKay1
  • 32
    • 0027596624 scopus 로고
    • Using knowledge-based neural networks to improve algorithms: refining the Chou-Fasman algorithm for protein folding
    • (1993) Machine Learning , vol.11 , Issue.2-3 , pp. 195-215
    • Maclin1    Shavlik2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.