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Software sensors for monitoring of a solid waste composting process
Bolf, N., Kopčić, N., Briški, F. and Gomzi, Z. Software sensors for monitoring of a solid waste composting process Chemical Papers, Vol.61, No. 2, 2007, 98-102
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Document type:
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Článok z časopisu / Journal Article |
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Collection:
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Chemical papers
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| Author(s) |
Bolf, N.
Kopčić, N.
Briški, F.
Gomzi, Z.
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| Title |
Software sensors for monitoring of a solid waste composting process
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| Journal name |
Chemical Papers
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| Publication date |
2007
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| Year available |
2007
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| Volume number |
61
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| Issue number |
2
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| ISSN |
0366-6352
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| Start page |
98
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| End page |
102
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| Place of publication |
Poland
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| Publisher |
Versita
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| Collection year |
2007
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| Language |
english
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| Subject |
290000 Engineering and Technology
290600 Chemical Engineering
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| Abstract/Summary |
Process identification for composting of tobacco solid waste in an aerobic, adiabatic batch reactor was carried out using neural network-based models which utilized the nonlinear finite impulse response and nonlinear autoregressive model with exogenous inputs identification methods. Two soft sensors were developed for the estimation of conversion. The neural networks were trained by the adaptive gradient method using cascade learning. The developed models showed that the neural networks could be applied as intelligent software sensors giving a possibility of continuous process monitoring. The models have a potential to be used for inferential control of composting process in batch reactors.
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