Design of experiments and focused grid search for neural network parameter optimization

Neurocomputing

Volumn 186, Issue , 2016, Pages 22-34

  Pontes, F J ^a   Amorim, G F ^b,c   Balestrassi, P P ^b   Paiva, A P ^b   Ferreira, J R ^b  

^a SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

^b FEDERAL UNIVERSITY OF ITAJUBÁ   (Brazil)

^c UNIVERSITY OF TENNESSEE   (United States)

Author keywords

Artificial Neural Network; Design of Experiment; Focused Grid Search; Machining; Tuning

Indexed keywords

DESIGN; FORECASTING; MACHINING; MACHINING CENTERS; NETWORK ARCHITECTURE; NEURAL NETWORKS; SURFACE ROUGHNESS; TUNING;

AVERAGE SURFACE ROUGHNESS; EVOLUTIONARY OPERATIONS; GRID SEARCH; MACHINING OPERATIONS; MULTI LAYER PERCEPTRON; NEURAL NETWORK PARAMETERS; ROUGHNESS PREDICTIONS; SURFACE ROUGHNESS MODEL;

DESIGN OF EXPERIMENTS;

ACCURACY; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CLASSIFICATION; FOCUSED GRID SEARCH; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROCESS OPTIMIZATION;

EID: 84956634384     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.12.061     Document Type: Article

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