A study on concentration estimation of formaldehyde in four-component gas mixtures using neural networks
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چکیده
In this study, the feedforward neural networks (FNNs) were applied for concentration estimation of formaldehyde. Contrasting with previous studies on binary gas mixtures, fourcomponent gas mixtures containing formaldehyde, ethanol, acetone and toluene were investigated in this paper. Experimental results showed that Levenberg-Marquardt algorithm was fast and efficient for quantitative analysis of multicomponent gas mixtures and a relative prediction error of 0.26% for formaldehyde was achieved.
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تاریخ انتشار 2009