Title: Fast detection of hazardous organic gases in the ambient air using adaptive neuro-fuzzy inference systems

Authors: Fevzullah Temurtas

Addresses: Department of Computer Engineering, Sakarya University, Esentepe Campus, 54187 Adapazari, Turkey

Abstract: In this study, an adaptive neuro-fuzzy inference system (ANFIS) is proposed for the concentration estimation of volatile organic gases before the sensor response time by using the transient sensor response. A neural network (NN) structure with tapped time delays and Mamdani|s fuzzy inference system (FIS) are also used for comparison. The estimation results of ANFIS are better than those of the Mamdani|s FIS and much closer to those of the NN. Acceptable performance is obtained for all systems, and the appropriateness of ANFIS for the gas-concentration determination before the sensor response time is observed.

Keywords: gas-concentration estimation; neural networks; fuzzy inference systems; ANFIS; transient sensor response; environmental pollution; volatile organic gases.

DOI: 10.1504/IJEP.2006.011216

International Journal of Environment and Pollution, 2006 Vol.28 No.3/4, pp.352 - 363

Published online: 06 Nov 2006 *

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