期刊
BIORESOURCE TECHNOLOGY
卷 202, 期 -, 页码 158-164出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.biortech.2015.12.024
关键词
Cattle manures; Pyrolysis; Biochar yield; Support vector machine; Intelligent modeling
资金
- Special Fund for Agro-scientific Research in the Public Interest [201303091]
- Fundamental Research Funds for the Central Universities [2662015QC002, 2015PY077]
To predict conveniently the biochar yield from cattle manure pyrolysis, intelligent modeling approach was introduced in this research. A traditional artificial neural networks (ANN) model and a novel least squares support vector machine (LS-SVM) model were developed. For the identification and prediction evaluation of the models, a data set with 33 experimental data was used, which were obtained using a laboratory-scale fixed bed reaction system. The results demonstrated that the intelligent modeling approach is greatly convenient and effective for the prediction of the biochar yield. In particular, the novel LS-SVM model has a more satisfying predicting performance and its robustness is better than the traditional ANN model. The introduction and application of the LS-SVM modeling method gives a successful example, which is a good reference for the modeling study of cattle manure pyrolysis process, even other similar processes. (C) 2015 Elsevier Ltd. All rights reserved.
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