Comparative analysis of response surface methodology and adaptive neuro-fuzzy inference system for predictive fault detection and optimization in beverage industry
- DOI
- 10.3389/fmech.2024.1428717
- Published
- 2024-10-07
- Container
- Frontiers in Mechanical Engineering
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fmech.2024.1428717,
title = {Comparative analysis of response surface methodology and adaptive neuro-fuzzy inference system for predictive fault detection and optimization in beverage industry},
author = {Anthony O. Onokwai and Olamide O. Olusanya and Morakinyo K. Onifade and Benjamin E. Anyaegbuna and Avbenake Onoriode and Darlington Agholor},
year = {2024},
journal = {Frontiers in Mechanical Engineering},
doi = {10.3389/fmech.2024.1428717},
url = {https://doi.org/10.3389/fmech.2024.1428717}
}RIS
TY - JOUR TI - Comparative analysis of response surface methodology and adaptive neuro-fuzzy inference system for predictive fault detection and optimization in beverage industry AU - Anthony O. Onokwai AU - Olamide O. Olusanya AU - Morakinyo K. Onifade AU - Benjamin E. Anyaegbuna AU - Avbenake Onoriode AU - Darlington Agholor PY - 2024 JO - Frontiers in Mechanical Engineering DO - 10.3389/fmech.2024.1428717 UR - https://doi.org/10.3389/fmech.2024.1428717 ER -
APA
Onokwai, A. O., Olusanya, O. O., Onifade, M. K., Anyaegbuna, B. E., Onoriode, A., & Agholor, D. (2024). Comparative analysis of response surface methodology and adaptive neuro-fuzzy inference system for predictive fault detection and optimization in beverage industry. Frontiers in Mechanical Engineering. https://doi.org/10.3389/fmech.2024.1428717
Source records
- crossref · retrieved 2026-09-25T07:06:08.037Z