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- W2885008059 abstract "Discrimination of volatile organic compounds (VOCs) is essential for mitigating their hazardous effects. Pre-processing of sensor responses and pattern recognition improves the classification results significantly. In our recent work, we reported that Normalized Difference Sensor Response Transformation (NDSRT) outperforms other popular pre-processing techniques. In this paper, we have assessed the NDSRT approach on three well-published datasets consisting of single and binary mixtures of VOCs. The raw sensor responses were transformed into virtual multi-sensor responses having concentration invariance, thereby giving rise to compacted clusters with good inter-cluster separation. In this transformation domain, even a simpler four-neuron artificial neural network (ANN) classifier was sufficient to discriminate all the test samples accurately. After application of NDSRT, Dataset—I showed a minimum cluster separation of 0.80 units while individual clusters were compacted by at least 85.01%. For Dataset—II, the average inter-cluster separation was improved by 1.4% while classification accuracy was improved from 33% to 100%. Further, for Dataset—III, the inter-cluster separation for 'worst scenario' was improved by at least 19% while for 'best scenario' it improved by 34%. Further, a simpler four neuron feed-forward back-propagation neural network (BPNN) was then used to classify 16, 30, and 50, unknown test samples taken from Dataset—I, II and III, respectively, which were not used during the training of the BPNN. The mean squared error (MSE) for these test samples was 6.7 × 10−3, 1.7 × 10−1 and 1.0 × 10−3, respectively. All the test samples were classified accurately in the proposed transformation domain." @default.
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- W2885008059 date "2018-08-01" @default.
- W2885008059 modified "2023-10-10" @default.
- W2885008059 title "Performance evaluation of normalized difference based classifier for efficient discrimination of volatile organic compounds" @default.
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- W2885008059 doi "https://doi.org/10.1088/2053-1591/aad3dd" @default.
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