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Volumn 59, Issue 1, 2011, Pages 3-8

Application of genetically evolved neural networks to dynamic terrain generation

Author keywords

Evolving neural networks; Water erosion

Indexed keywords

ENVIRONMENT CONDITIONS; EVOLVING NEURAL NETWORK; NATURAL PHENOMENA; PROCESSING TIME; REAL-TIME TERRAINS; WATER EROSION;

EID: 80051566152     PISSN: 02397528     EISSN: None     Source Type: Journal    
DOI: 10.2478/v10175-011-0001-6     Document Type: Article
Times cited : (3)

References (13)
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    • Analysis of forecasting possibilities of soil displacements during ploughing with the use of classic statistical methods and artificial neural networks
    • (in Polish)
    • G. Niedbała and K. Klejna, "Analysis of forecasting possibilities of soil displacements during ploughing with the use of classic statistical methods and artificial neural networks", Agricultural Engineering 2, 90 (2007), (in Polish).
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    • Niedbała, G.1    Klejna, K.2
  • 7
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  • 9
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  • 10
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    • GANNET: a genetic algorithm for searching topology and weight spaces in neural network design
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  • 13
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    • A comparison between cellular encoding and direct encoding for genetic neural networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.