TY - JOUR N2 - The possibility of applying gas chromatograph to air samples discrimination in regard to odour intensity and hedonic quality was examined. The air samples were arornatised with lemon oil and four admixtures. fourteen distinctive points of a chromatogram were appointed and the distances from the points lo a set basis were measured. The set of h 1-h 14 parameters (inputs) and varied individual sensory estimations of I and H (outputs) was used as a training data set for NN. Possibility of discrimination of the odour quality of the samples situated close to the threshold of odour quality difference detectability was confirmed on the level of approximately one. L1 - http://www.czasopisma.pan.pl/Content/123414/PDF/3_AE_VOL_31_1_2005_Kosmider_GC_NN.pdf L2 - http://www.czasopisma.pan.pl/Content/123414 PY - 2005 IS - No 1 EP - 12 KW - odour intensity KW - hedonic quality of odour KW - neural networks KW - GC-NN system A1 - Kośmider, Joanna A1 - Krajewska, Beata PB - Polish Academy of Sciences VL - vol. 31 DA - 14.06.2022 T1 - GC-NN System Estimating Odour Quality SP - 3 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/123414 T2 - Archives of Environmental Protection ER -