Leuconostoc Mesenteroides Growth in Food Products: Prediction and Sensitivity Analysis by Adaptive-Network-Based Fuzzy Inference Systems

BACKGROUND: An adaptive-network-based fuzzy inference system (ANFIS) was compared with an artificial neural network (ANN) in terms of accuracy in predicting the combined effects of temperature (10.5 to 24.5°C), pH level (5.5 to 7.5), sodium chloride level (0.25% to 6.25%) and sodium nitrite level (0...

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Detalles Bibliográficos
Autores principales: Wang, Hue-Yu, Wen, Ching-Feng, Chiu, Yu-Hsien, Lee, I-Nong, Kao, Hao-Yun, Lee, I-Chen, Ho, Wen-Hsien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3660370/
https://www.ncbi.nlm.nih.gov/pubmed/23705023
http://dx.doi.org/10.1371/journal.pone.0064995

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3660370/
https://www.ncbi.nlm.nih.gov/pubmed/23705023
http://dx.doi.org/10.1371/journal.pone.0064995

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