Classification of Natural and Thermo-Modified Peat by Class-Modeling Techniques; Key Engineering Materials; Vol. 683 : Multifunctional Materials: Development and Application
| Parent link: | Key Engineering Materials: Scientific Journal Vol. 683 : Multifunctional Materials: Development and Application.— 2016.— [P. 596-600] |
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| Yhteenveto: | Title screen Significant attention is paid to the production of peat-based materials in modern days. The study explores the influence of natural peat thermal modification on its properties by applying class-modeling techniques. Modification of different types of peat is achieved by heating at 250 °С. The set of peat properties such as component composition, g-factor and IR-spectra is used to obtain data matrix. It is shown that class-modeling techniques, such as partial least-squares discriminant analysis (PLS-DA) and simple independent modeling of class analogy (SIMCA), allow estimating peat class (natural or modified) by a set of properties without prediction errors by using three latent variables. According to the results of classification, it is established that thermal modification can be considered as a means of regulating the composition and physico-chemical properties of natural peats as a raw material. Режим доступа: по договору с организацией-держателем ресурса |
| Kieli: | englanti |
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2016
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| Sarja: | Elaboration and Simulation of Processes in Materials Science |
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| Linkit: | http://dx.doi.org/10.4028/www.scientific.net/KEM.683.596 |
| Aineistotyyppi: | Elektroninen Kirjan osa |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646653 |
| Yhteenveto: | Title screen Significant attention is paid to the production of peat-based materials in modern days. The study explores the influence of natural peat thermal modification on its properties by applying class-modeling techniques. Modification of different types of peat is achieved by heating at 250 °С. The set of peat properties such as component composition, g-factor and IR-spectra is used to obtain data matrix. It is shown that class-modeling techniques, such as partial least-squares discriminant analysis (PLS-DA) and simple independent modeling of class analogy (SIMCA), allow estimating peat class (natural or modified) by a set of properties without prediction errors by using three latent variables. According to the results of classification, it is established that thermal modification can be considered as a means of regulating the composition and physico-chemical properties of natural peats as a raw material. Режим доступа: по договору с организацией-держателем ресурса |
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| DOI: | 10.4028/www.scientific.net/KEM.683.596 |