Optimization of processing parameters for microwave drying of selenium-rich slag using incremental improved back-propagation neural network and response surface methodology

Journal of Central South University of Technology (English Edition)

Volumn 18, Issue 5, 2011, Pages 1441-1447

  Li, Ying Wei ^a   Peng, Jin Hui ^a   Liang, Gui An ^a   Li, Wei ^a   Zhang, Shi Min ^a  

^a KUNMING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Incremental improved back propagation neural network; Microwave drying; Optimization; Prediction; Response surface methodology

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; COMBINED EFFECT; DEHYDRATION RATES; DIFFERENT EFFECTS; DRYING PROCESS; EXPERIMENTAL CONDITIONS; IMPROVED BP NEURAL NETWORK; INDEPENDENT VARIABLES; MEAN SQUARED ERROR; MICROWAVE DRYING; MICROWAVE DRYING PROCESS; MICROWAVE POWER; NEURAL NETWORK MODEL; OPTIMUM OPERATING CONDITIONS; PREDICTION ACCURACY; PREDICTIVE MODELS; PROCESSING PARAMETERS; PRODUCTION PROCESS; QUADRATIC FORM; RESPONSE SURFACE METHODOLOGY; ROTATIONAL FREQUENCY;

BACKPROPAGATION; DRYING; FORECASTING; MATHEMATICAL MODELS; MICROWAVE GENERATION; MICROWAVE HEATING; MICROWAVE POWER TRANSMISSION; NUMBER THEORY; OPTIMIZATION; SELENIUM; SLAGS; SURFACE PROPERTIES; TORSIONAL STRESS;

NEURAL NETWORKS;

EID: 84863075551     PISSN: 10059784     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11771-011-0859-3     Document Type: Article

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