Fundamentals of neural networks: architectures, algorithms, and applications
Fundamentals of neural networks: architectures, algorithms, and applications
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Computer
IBICA '11 Proceedings of the 2011 Second International Conference on Innovations in Bio-inspired Computing and Applications
A procedure for the optimization of air quality monitoring networks
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Models for air quality management and assessment
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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This paper presents an ambient air quality monitoring and prediction system. The system consists of several distributed monitoring stations that communicate wirelessly to a backend server using machine-to-machine communication protocol. Each station is equipped with gas- eous and meteorological sensors as well as data logging and wireless communication capabilities. The backend server collects real time data from the stations and converts it into information delivered to users through web portals and mobile applications. In addition to manipulating the real time information, the system is able to predict futuristic concentration values of gases by applying artificial neural networks trained by historical and collected data by the system. The system has been implemented and four solar-powered stations have been deployed over an area of 1 km2. Data over four months has been collected and artificial neural networks have been trained to predict the average values of the next hour and the next eight hours. The results show very accurate prediction.