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Neural Identification of Thermochemical Processes for Solid Wastes Transformation



This paper presents a neural network application to identify the behavior of the model for two thermochemical processes, which are used to transform organic solid wastes. The first model corresponds to the char reduction zone of a gasification process, including inputs signals. The second one corresponds to a fluidized bed sludge combustor focused on the dynamics of NO



Total Pages: 19
Pages: 77-95


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Volume: 21
Issue: 1
Year: 2014

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ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)

SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."

Journal: 1995-Present


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