The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Comparison of artificial neural network (ANN) and response surface methodology (RSM) in fermentation media optimization: Case study of fermentative production of scleroglucan
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Cites
Colorimetric Method for Determination of Sugars and Related Substances
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Genetic algorithms in search, optimization, and machine learning
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Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature · doi:10.1038/323533a0 · Cited by 31,892
Handbook of Genetic Algorithms
Davis, L. D. (1991) · Cumulative Index of Computer Aided Architectural Design · Cited by 7,330
Neural Networks: Algorithms, Applications and Programming Techniques
Leave, C. (1992) · Journal of the Operational Research Society · doi:10.1057/jors.1992.170 · Cited by 1,283
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Neural Networks: Algorithms, Applications and Programming Techniques.
Leave, C., Freeman, J. A., & Skapura, D. M. (1992) · The Journal of the Operational Research Society · doi:10.2307/2584109 · Cited by 924
Response surface analysis and simulation as a tool for bioprocess design and optimization
Kalil, S. J., Maugeri, F., & Rodrigues, M. I. (2000) · Process Biochemistry · doi:10.1016/s0032-9592(99)00101-6 · Cited by 425
Baş, D., & Boyacı, İ. H. (2007) · Journal of Food Engineering · doi:10.1016/j.jfoodeng.2005.11.025 · Cited by 285
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Cited by
Machine learning for biochemical engineering: A review
Mowbray, M., Savage, T., Wu, C., Song, Z., Cho, B. A., Del Rio-Chanona, E. A., & Zhang, D. (2021) · Biochemical Engineering Journal · doi:10.1016/j.bej.2021.108054 · Cited by 188
Cheok, C. Y., Chin, N. L., Yusof, Y. A., Talib, R. A., & Law, C. L. (2012) · Industrial Crops and Products · doi:10.1016/j.indcrop.2012.03.019 · Cited by 114
Rosa, S. M., Soria, M. A., Vélez, C. G., & Galvagno, M. A. (2010) · Bioresource Technology · doi:10.1016/j.biortech.2009.11.056 · Cited by 78
Han, X., Liu, Q., Li, Y., Zhang, M., Liu, K., Kwok, L.-Y., Zhang, H., & Zhang, W. (2025) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2025.104938 · Cited by 64
Said, F. M., Gan, J. Y., & Sulaiman, J. (2020) · Engineering Science and Technology, an International Journal · doi:10.1016/j.jestch.2019.12.005 · Cited by 27
Metadata
- Authors
- Desai, K. M., Survase, S. A., Saudagar, P. S., Lele, S. S., & Singhal, R. S.
- Venue
- Biochemical Engineering Journal
- Publisher
- Elsevier BV
- Published
- 2008-10
- Volume
- 41
- Issue
- 3
- Pages
- 266-273
- ISSN
- 1369-703X (ISSN-L)
- OpenAlex
- W2122782494
- Cited by
- 587
- References
- 21
- FWCI
- 16.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Comparison of artificial neural network (ANN) and response surface methodology (RSM) in fermentation media optimization: Case study of fermentative production of scleroglucan. https://app.cochat.ai/papers/10.1016/j.bej.2008.05.009
- The paper
- Desai, K. M., Survase, S. A., Saudagar, P. S., Lele, S. S., & Singhal, R. S. (2008). Comparison of artificial neural network (ANN) and response surface methodology (RSM) in fermentation media optimization: Case study of fermentative production of scleroglucan. Biochemical Engineering Journal. https://doi.org/10.1016/j.bej.2008.05.009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
