Artificial neural network for prediction of dielectric properties relevant to microwave processing of fruit juice (2018)
- Authors:
- Autor USP: AUGUSTO, PEDRO ESTEVES DUARTE - ESALQ
- Unidade: ESALQ
- DOI: 10.1111/jfpe.12815
- Subjects: REDES NEURAIS; SUCOS DE FRUTAS; TECNOLOGIA DE MICRO-ONDAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Food Process Engineering
- ISSN: 0145-8876
- Volume/Número/Paginação/Ano: art. e12815, p. 1-16, 2018
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
KUBO, M. T. K et al. Artificial neural network for prediction of dielectric properties relevant to microwave processing of fruit juice. Journal of Food Process Engineering, p. 1-16, 2018Tradução . . Disponível em: https://doi.org/10.1111/jfpe.12815. Acesso em: 20 maio 2024. -
APA
Kubo, M. T. K., Curet, S., Augusto, P. E. D., & Boillereaux, L. (2018). Artificial neural network for prediction of dielectric properties relevant to microwave processing of fruit juice. Journal of Food Process Engineering, 1-16. doi:10.1111/jfpe.12815 -
NLM
Kubo MTK, Curet S, Augusto PED, Boillereaux L. Artificial neural network for prediction of dielectric properties relevant to microwave processing of fruit juice [Internet]. Journal of Food Process Engineering. 2018 ; 1-16.[citado 2024 maio 20 ] Available from: https://doi.org/10.1111/jfpe.12815 -
Vancouver
Kubo MTK, Curet S, Augusto PED, Boillereaux L. Artificial neural network for prediction of dielectric properties relevant to microwave processing of fruit juice [Internet]. Journal of Food Process Engineering. 2018 ; 1-16.[citado 2024 maio 20 ] Available from: https://doi.org/10.1111/jfpe.12815 - Contribuição ao entendimento do fenômeno de hidratação de grãos: caracterização, mecanismos, modelagem e melhoria
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Informações sobre o DOI: 10.1111/jfpe.12815 (Fonte: oaDOI API)
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