Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification

Research article (Neural Networks, 2015) · cited 36× · AI/ML
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Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification

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Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-biological-plausibility-of-electronic-noses-a-spiking-neural-network-based-approach-for-tea-odour-classification
MLA “Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-biological-plausibility-of-electronic-noses-a-spiking-neural-network-based-approach-for-tea-odour-classification.
BibTeX @misc{4ortxyz_towards-biological-plausibility-of-electronic-noses-a-spiking-neural-network-based-approach-for-tea-odour-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification}}, year = {2026}, url = {https://4ort.xyz/entity/towards-biological-plausibility-of-electronic-noses-a-spiking-neural-network-based-approach-for-tea-odour-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification — https://4ort.xyz/entity/towards-biological-plausibility-of-electronic-noses-a-spiking-neural-network-based-approach-for-tea-odour-classification (retrieved 2026-05-24)

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