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Self-Organizing Polynomial Neural Networks Based on Genetically Optimized Multi-Layer Perceptron Architecture
Self-Organizing Polynomial Neural Networks Based on Genetically Optimized Multi-Layer Perceptron Architecture
Detailed Information
- 자료유형
- 기사
- ISSN
- 15986446
- 서명/저자
- Self-Organizing Polynomial Neural Networks Based on Genetically Optimized Multi-Layer Perceptron Architecture / Ho Sung Park, Boung Jun Park, Hyun-Ki Kim, Sung Kwun Oh
- 발행사항
- 서울 : The Korean Institute of Electrical Eng., 2004.
- 형태사항
- pp. 423-434
- 키워드
- SELFORGANIZING POLYNOMIAL NEURAL NETWORKS BASED GENETICALLY OPTIMIZED MULTILAYER PERCEPTRON ARCHITECTURE
- 기본자료저록
- International Journal of Control, Automation, and System : Vol. 2 No. 4 (2004 December) 2004, 12
- 모체레코드
- 모체정보확인
- Control Number
- kjul:60069350
MARC
008060210s2004 ULKa a ENG■022 ▼a15986446
■245 ▼aSelf-Organizing Polynomial Neural Networks Based on Genetically Optimized Multi-Layer Perceptron Architecture▼dHo Sung Park, Boung Jun Park, Hyun-Ki Kim, Sung Kwun Oh
■260 ▼a서울▼bThe Korean Institute of Electrical Eng.▼c2004.
■300 ▼app. 423-434
■653 ▼aSELFORGANIZING▼aPOLYNOMIAL▼aNEURAL▼aNETWORKS▼aBASED▼aGENETICALLY▼aOPTIMIZED▼aMULTILAYER▼aPERCEPTRON▼aARCHITECTURE
■700 ▼aHo Sung Park, Boung Jun Park, Hyun-Ki Kim, Sung Kwun Oh
■773 ▼tInternational Journal of Control, Automation, and System▼gVol. 2 No. 4 (2004 December)▼d2004, 12
■SIS ▼aS018364▼b60067606▼h8▼s2
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