Hot water temperature prediction using a dynamic neural network for absorption chiller application in Indonesia

Keyphrases

• Indonesia 100%
• Hot Water Temperature 100%
• Absorption chiller 100%
• Water Temperature Prediction 100%
• Dynamic Neural Network 100%
• Dry Bulb Temperature 100%
• Weather Conditions 66%
• Feed-forward Back-propagation 66%
• Prediction Accuracy 33%
• Solar Radiation 33%
• Number of Neurons 33%
• Artificial Neural Network 33%
• Chiller Performance 33%
• Result Prediction 33%
• Back Propagation Algorithm 33%
• Coefficient of Variation 33%
• Experimental Values 33%
• Global Horizontal Radiation 33%
• Feed Forward Back Propagation Neural Network (FFBPNN) 33%
• Solar Drying 33%
• Network Type 33%
• Sigmoid Transfer Function 33%
• Delayed Input 33%
• Delay Effects 33%
• Bayesian Regularization 33%
• Elman Back Propagation 33%

Engineering

• Hot Water 100%
• Absorption Chiller 100%
• Backpropagation 100%
• Dry Bulb Temperature 75%
• Feedforward 50%
• Good Agreement 25%
• Delay Time 25%
• Solar Radiation 25%
• Artificial Neural Network 25%
• Predicted Value 25%
• Experimental Value 25%
• Accurate Prediction 25%
• Propagation Model 25%
• Regularization 25%
• Coefficient of Variation 25%
• Sigmoid Transfer Function 25%