Optimum operating conditions for a water purification process integrated to a heat transformer with energy recycling using neural network inverse

Renewable Energy

Volumn 34, Issue 4, 2009, Pages 1084-1091

  Hernandez J A ^a   Bassam, A ^a   Siqueiros, J ^a   Juarez Romero D ^a  

^a UNIVERSIDAD AUTÓNOMA DEL ESTADO DE MORELOS   (Mexico)

Author keywords

Absorption heat transformer; Artificial neural network inverse; COP performance; Water purification

Indexed keywords

ABSORPTION; BACKPROPAGATION; COOLING SYSTEMS; FUNCTIONS; HEAT EXCHANGERS; HEAT PUMP SYSTEMS; IMAGE CLASSIFICATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; PROBABILITY DENSITY FUNCTION; PURIFICATION; RECYCLING; STATISTICAL TESTS; TRANSFER FUNCTIONS; WASTEWATER RECLAMATION; WATER ABSORPTION; WATER RECYCLING; WATER SUPPLY; WATER TREATMENT PLANTS;

ABSORPTION HEAT TRANSFORMER; ABSORPTION HEAT TRANSFORMERS; ANN MODELS; ARTIFICIAL NEURAL NETWORK INVERSE; ARTIFICIAL NEURAL NETWORK MODELS; ARTIFICIAL NEURAL NETWORKS; BEST FITTINGS; COEFFICIENT OF PERFORMANCES; COP PERFORMANCE; ENERGY RECYCLING; EXPERIMENTAL DATUMS; FEEDFORWARD; HEAT TRANSFORMERS; HIDDEN LAYERS; HYPERBOLIC TANGENT SIGMOID TRANSFER FUNCTIONS; INPUT AND OUTPUTS; INPUT VARIABLES; LEVENBERG-MARQUARDT; LINEAR TRANSFER FUNCTIONS; OPERATING CONDITIONS; OPTIMAL OPERATING CONDITIONS; OPTIMIZATION METHODS; OPTIMUM OPERATING CONDITIONS; SIMPLEX METHODS; TRAINING DATA SETS; UNKNOWN INPUTS; VALIDATION DATUMS; WATER PURIFICATION; WATER PURIFICATIONS;

NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; EXPERIMENTAL STUDY; HEAT TRANSFER; OPTIMIZATION; RECYCLING; TRANSFER FUNCTION; WATER TREATMENT;

EID: 56249127479     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2008.07.004     Document Type: Article

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