An enhanced neural network model for predictive control of granule quality characteristics
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[1] Baldev Raj,et al. Artificial neural network modeling of composition–process–property correlations in austenitic stainless steels , 2008 .
[2] S. Joshi,et al. Modeling of surface roughness in precision machining of metal matrix composites using ANN , 2008 .
[3] Alice E. Smith,et al. Prediction and optimization of a ceramic casting process using a hierarchical hybrid system of neural networks and fuzzy logic , 2000 .
[4] Rongdi Han,et al. Modeling of dimensional errors in slender bar turning using artificial neural networks , 2008, 2008 7th World Congress on Intelligent Control and Automation.
[5] Roberto Guardani,et al. Neural network based approach for optimization of industrial chemical processes , 2000 .
[6] Yongyut Laosiritaworn,et al. Artificial neural network modeling of ceramics powder preparation: Application to NiNb2O6 , 2008 .
[7] Pawel Strumillo,et al. NEUROCOMPUTING APPROACHES TO MODELLING OF DRYING PROCESS DYNAMICS , 1998 .
[8] Alois K. Schlarb,et al. Neural network based prediction on mechanical and wear properties of short fibers reinforced polyamide composites , 2008 .
[9] D. F. Morrison,et al. Multivariate Statistical Methods , 1968 .
[10] Dong Guo,et al. Investigation of BaTiO3 formulation: an artificial neural network (ANN) method , 2002 .
[11] P. V. Coveney,et al. Prediction of the functional properties of ceramic materials from composition using artificial neural networks , 2007 .
[12] M. Ponnavaikko,et al. DEVELOPMENT OF ANN MODEL FOR NON-LINEAR DRYING PROCESS , 1997 .
[13] John Norrish,et al. Artificial neural networks for predicting diffusible hydrogen content and cracking susceptibility in rutile flux-cored arc welds , 2007 .
[14] D. T. Wright,et al. Towards pultrusion process optimisation using artificial neural networks , 1998 .
[15] M. Ponnavaikko,et al. ARTIFICIAL NEURAL NETWORKS: PRINCIPLE AND APPLICATION TO MODEL BASED CONTROL OF DRYING SYSTEMS - A REVIEW , 1998 .
[16] Javad Khazaei,et al. Prediction of process and product parameters in an orange juice spray dryer using artificial neural networks , 2008 .
[17] Udo Wagner,et al. Applications of artificial neural networks in management science: a survey , 1999 .
[18] I.A.K. Saeed,et al. Ceramic Tile Process Modeling for Quality Improvement Using ANN , 2006, 2006 IEEE International Conference on Industrial Technology.
[19] Jian Zhang,et al. Neural network modeling and analysis of gel casting preparation of porous Si3N4 ceramics , 2009 .
[20] Zahra Emam-Djomeh,et al. Comparison of Artificial Neural Network (ANN) and Response Surface Methodology (RSM) in the Prediction of Quality Parameters of Spray-Dried Pomegranate Juice , 2009 .
[21] Massimiliano Barletta,et al. Modelling of electrostatic fluidized bed (EFB) coating process using artificial neural networks , 2007, Eng. Appl. Artif. Intell..
[22] M. Islam,et al. An Artificial Neural Network Model for Prediction of Drying Rates , 2003 .
[23] Nguyen Quoc Dinh,et al. Neuro-fuzzy MIMO nonlinear control for ceramic roller kiln , 2007, Simul. Model. Pract. Theory.
[24] G. Bonifazi,et al. Ceramic powder characterization by multilayer perceptron (MLP) data compression and classification , 1994 .
[25] James Tannock,et al. The training of neural networks to model manufacturing processes , 2005, J. Intell. Manuf..
[26] Chao-Ton Su,et al. Applying neural network approach to achieve robust design for dynamic quality characteristics , 1998 .