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Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algorithm
Self-Organising Feature Map (SOFM) neural models and the Learning Vector Quantization (LVQ) algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost...
Autores principales: | Boniecki, Piotr, Idzior-Haufa, Małgorzata, Pilarska, Agnieszka A., Pilarski, Krzysztof, Kolasa-Wiecek, Alicja |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788185/ https://www.ncbi.nlm.nih.gov/pubmed/31500258 http://dx.doi.org/10.3390/ijerph16183294 |
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