Title :
Smart air-conditioning system using multilayer perceptron neural network with a modular approach
Author :
Kah, Ang Heng ; San, Quek Yeong ; Guan, Sim Chee ; Kiat, Wan Chun ; Koh, Yong Chaw
Author_Institution :
Dept. of Electron. & Comput. Eng., Ngee Ann Polytech., Singapore
Abstract :
The project involved the design of a smart air-conditioning system to control the temperature in an air-conditioned bus more effectively. The system comprised a modular network using a multilayer perceptron. A backpropagation algorithm with momentum term was used to train the network. There are 4 neural network modules in the whole system. The input parameters for training were broken down into 3 categories which are temperature, number of passengers and time of the day. A final data fusion module was used for decision making to set the system to an optimum state of operations such that passengers will feel comfortable. Test results obtained were encouraging with fast training time
Keywords :
air conditioning; multilayer perceptrons; road vehicles; sensor fusion; temperature control; air-conditioned bus; backpropagation algorithm; data fusion module; decision making; modular approach; multilayer perceptron neural network; smart air-conditioning system; Control systems; Internet; Multi-layer neural network; Multilayer perceptrons; Neural networks; Neurons; Switches; Temperature; Testing; Thermostats;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.487722