title: Prediction of biochar yield from cattle manure pyrolysis via least squares support vector machine intelligent approach.
abstract: 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.
authors.affiliation: College of Engineering, Huazhong Agricultural University, No. 1, Shizishan Street, Hongshan District, Wuhan 430070, PR China.
authors.forename: Hongliang
authors.initials: H
authors.lastname: Cao
authors.affiliation: College of Engineering, Huazhong Agricultural University, No. 1, Shizishan Street, Hongshan District, Wuhan 430070, PR China.
authors.forename: Ya
authors.initials: Y
authors.lastname: Xin
authors.affiliation: College of Engineering, Huazhong Agricultural University, No. 1, Shizishan Street, Hongshan District, Wuhan 430070, PR China. Electronic address: yc1group@126.com.
authors.forename: Qiaoxia
authors.initials: Q
authors.lastname: Yuan
mesh_terms: D000818:Animals; D002417:Cattle; D002606:Charcoal; D006358:Hot Temperature; D016018:Least-Squares Analysis; D008372:Manure; D015233:Models, Statistical; D016571:Neural Networks, Computer; D060388:Support Vector Machine
chemical_list: D008372:Manure; C540010:biochar; D002606:Charcoal
keywords: Biochar yield; Cattle manures; Intelligent modeling; Pyrolysis; Support vector machine