Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies among parameters

Research article (Chemical Engineering Journal, 2022) · cited 134× · AI/ML
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Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies among parameters

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Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies among parameters is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies among parameters. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-neural-network-based-hybrid-modeling-and-experimental-validation-for-an-industry-scale-fermentation-process-identif
MLA “Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies among parameters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-neural-network-based-hybrid-modeling-and-experimental-validation-for-an-industry-scale-fermentation-process-identif.
BibTeX @misc{4ortxyz_deep-neural-network-based-hybrid-modeling-and-experimental-validation-for-an-industry-scale-fermentation-process-identif_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies among parameters}}, year = {2026}, url = {https://4ort.xyz/entity/deep-neural-network-based-hybrid-modeling-and-experimental-validation-for-an-industry-scale-fermentation-process-identif}, note = {Accessed: 2026-05-24}}
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