Presents an artificial neural network (ANN) approach to determine the delay time for a heating, ventilation and air conditioning (HVAC) plant to respond to control actions. States the ANN is a fully connected four-layer network. An acceleration technique was used to improve the General Delta Rule for the learning process. Experimental data for heating and cooling modes were used with both the ANN and a traditional mathematical method to determine the delay time. States the results show that ANNs can be used to effectively determine the delay time for HVAC systems.

KEYWORDS: Expert systems, computer programs, controls, heating, ventilation, air conditioning.