Journal Pre-proofs An integrated neural-fuzzy methodology for characterisation and modelling of exopolysaccharide (EPS) production levels of Leuconostoc mesenteroides DL1 Mohammad Kabli, Mustafa Tahsin Yilmaz, Osman Taylan, Yasemin Kaya, Hümeyra İspirli, Abdulrahman Basahel, Osman Sagdic, Enes Dertli PII: S0360-8352(20)30353-3 DOI: https://doi.org/10.1016/j.cie.2020.106619 Reference: CAIE 106619 To appear in: Computers & Industrial Engineering Please cite this article as: Kabli, M., Tahsin Yilmaz, M., Taylan, O., Kaya, Y., İspirli, H., Basahel, A., Sagdic, O., Dertli, E., An integrated neural-fuzzy methodology for characterisation and modelling of exopolysaccharide (EPS) production levels of Leuconostoc mesenteroides DL1, Computers & Industrial Engineering (2020), doi: https://doi.org/10.1016/j.cie.2020.106619 This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Elsevier Ltd. All rights reserved.