A Biochemical Fault Detection Method Based on Stack Noise Reduction Sparse Automatic Encoder

A method based on stack noise reduction sparse automatic coder is proposed for biochemical process fault detection. Based on SDSA, softmax classifier is introduced to build a deep neural network model, and particle swarm optimization algorithm is used to optimize the parameters of the model to impro...

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Vydané v:	Chinese Control and Decision Conference s. 5344 - 5349
Hlavní autori:	Wang, Ping, Chu, Zhigang, Sun, Lupeng
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2020
Predmet:	Biological system modeling Classification algorithms Deep Neural Network Encoding Fault detection Noise reduction Stacked Denoising Sparse Autoencoder Support vector machines Training
ISSN:	1948-9447
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