A new ANFIS for parameter prediction with numeric and categorical inputs

IEEE Transactions on Automation Science and Engineering

Volumn 7, Issue 3, 2010, Pages 645-653

  Liu, Min ^a,b   Dong, Mingyu ^a,b   Wu, Cheng ^a,b  

^a TSINGHUA UNIVERSITY   (China)

^b TSINGHUA NATIONAL LABORATORY FOR INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

Adaptive network based fuzzy inference system (ANFIS); categorical input; data mining; parameter prediction; scheduling

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; BEAM NUMBER; DATA MINING PROBLEMS; FIRING STRENGTH; FUZZY C-MEANS METHODS; GENERATION MECHANISM; HIGH-DIMENSIONAL; INDUSTRIAL TEXTILES; INPUT DATAS; NUMERICAL COMPARISON; PARAMETER PREDICTION; PARAMETER PREDICTION METHODS; PERCEPTRON; SCHEDULING PROCESS; STRUCTURAL PARAMETER; TRAINING ALGORITHMS; TRANSFORM MATRICES;

BINARY TREES; DATA MINING; FORECASTING; FORESTRY; FUZZY RULES; FUZZY SYSTEMS; MACHINE TOOLS; TEXTILE PROCESSING; WAVELET TRANSFORMS;

FUZZY INFERENCE;

FORECASTS; FORESTRY; MACHINE TOOLS; PARAMETERS; SCHEDULING; TEXTILES;

EID: 77954384595     PISSN: 15455955     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASE.2010.2045499     Document Type: Article

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