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...

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Detalles Bibliográficos
Autores principales: Boniecki, Piotr, Idzior-Haufa, Małgorzata, Pilarska, Agnieszka A., Pilarski, Krzysztof, Kolasa-Wiecek, Alicja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

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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