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Application Of Feed Forward Neural Networks In Modeling And Control Of A Fed-Batch Crystallization Process

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/aic.690381003openalex-extracted

A hybrid neural network‐first principles approach to process modeling

inferredcites →https://doi.org/10.1002/aic.690490715openalex-extracted

Robust nonlinear model predictive control of batch processes

inferredcites →https://doi.org/10.1007/s004490050697openalex-extracted

A new training method for hybrid models of bioprocesses

inferredcites →https://doi.org/10.1016/j.jprocont.2004.08.003openalex-extracted

First-principles and direct design approaches for the control of pharmaceutical crystallization

inferredcites →https://doi.org/10.1016/s0009-2509(03)00260-4openalex-extracted

Knowledge-based hybrid modelling of a batch crystallisation when accounting for nucleation, growth and agglomeration phenomena

inferredcites →https://doi.org/10.1016/s0098-1354(00)00419-1openalex-extracted

Processing modelling development through artificial neural networks and hybrid models

inferredcites →https://doi.org/10.1016/s0967-0661(99)00151-3openalex-extracted

Hybrid modelling of a sugar boiling process

inferredcites →https://doi.org/10.1021/ie00019a002openalex-extracted

Model identification and control of solution crystallization processes: a review

inferredcites →https://doi.org/10.1109/72.329697openalex-extracted

Training feedforward networks with the Marquardt algorithm

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.cherd.2020.08.032openalex-snapshot

Comprehensive evaluation of a data driven control strategy: Experimental application to a pharmaceutical crystallization process

inferred← citeshttps://doi.org/10.1016/j.desal.2010.10.038openalex-snapshot

Development of a knowledge based hybrid neural network (KBHNN) for studying the effect of diafiltration during ultrafiltration of whey

inferred← citeshttps://doi.org/10.1016/j.eng.2025.03.036openalex-snapshot

Progress of Machine Learning in Molecular Crystal Design and Crystallization Development

inferred← citeshttps://doi.org/10.1016/j.neucom.2011.12.008openalex-snapshot

Neural network-based optimal control of a batch crystallizer

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