A neural network approach for non-iterative calculation of heat transfer coefficient in fluid-particle systems

Chemical Engineering and Processing

Volumn 40, Issue 4, 2001, Pages 363-369

  Sablani, S S ^a  

^a SULTAN QABOOS UNIVERSITY   (Oman)

Author keywords

Agitation processing; Canned liquid particle mixture; Heat transfer coefficient; Neural network modeling

Indexed keywords

ITERATIVE METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS;

TRANSIENT TEMPERATURES;

HEAT TRANSFER COEFFICIENTS;

FOOD PROCESSING; HEAT TRANSFER; NEURAL NETWORK;

EID: 0034743693     PISSN: 02552701     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0255-2701(01)00111-8     Document Type: Article

References (12)

1. Food quality prediction with neural networks
2. Neural network vs principal component regression for prediction of wheat flour loaf volume in baking tests
3. Interest of neural networks for the optimization of the crossflow filtration process
4. A neural network approach for thermal processing applications
5. An artificial neural network for non-iterative calculation of the friction factor in pipeline flow
6. Particle shape influence on heat transfer in cans containing liquid particle mixture subjected to end-over-end rotation
7. Basic Networks
8. Heat transfer to particles in cans with end-over-end rotation: Influence of particle size and particle concentration (v/v)