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Proceedings of the 2004 IEEE International Symposium on Intelligent Control, 2004., 2005
This work presents an integrated batch-to-batch control and within batch re-optimisation control strategy for batch processes using neural network models. To overcome the difficulties in developing detailed mechanistic models, neural network models are developed from process operation data.
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This work presents an integrated batch-to-batch control and within batch re-optimisation control strategy for batch processes using neural network models. To overcome the difficulties in developing detailed mechanistic models, neural network models are developed from process operation data.
openaire +1 more source
Methane transformation by photocatalysis
Nature Reviews Materials, 2022Xiyi Li, Chao Wang, Junwang Tang
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Several Riemannian manifolds in machine learning, such as Symmetric Positive Definite (SPD), Grassmann, spherical, and hyperbolic manifolds, have been proven to admit gyro structures, thus enabling a principled and effective extension of Euclidean Deep Neural Networks (DNNs) to manifolds.
Chen, Ziheng +3 more
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Chen, Ziheng +3 more
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Synthetic alternatives to Matrigel
Nature Reviews Materials, 2020Elizabeth A Aisenbrey, William L Murphy
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Hydrogel microparticles for biomedical applications
Nature Reviews Materials, 2019Andrew C Daly +2 more
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