@article{10272/10271,
year = {2011},
url = {http://hdl.handle.net/10272/10271},
abstract = {A central composite factorial design was used in conjunction with the software ANFIS Edit MATLAB 6.5 to develop fuzzy neural model that reproduced the experimental results of the dependent variables with errors less than 6%. The model is therefore effective with a view to simulating the autohydrolysis process. In this study it was evaluated the potential of a species trihybrid Paulownia fortunei, tormentosa and elongata as an industrial crop in terms of its contents in holocellulose, lignin, xylo-oligomers, monomers and other glucan and its use for making cellulose pulp. It was optimized biomass autohydrolysis processes to obtain valuable liquid and solid phases that can be used to produce liquid fuels and cellulosic pulp. The process was modelled in order to optimize the extraction of xylo-oligomers and xylose in the liquid phase while preserving the integrity of cellulose fibres.},
organization = {The authors acknowledge financial support from the Grupo Empresarial ENCE, S.A. (San Juan delPuerto factory, Huelva, Spain) and VICIDEX EUROPA S.L., and the CICYT-FEDER (Science and Technology Inter Ministerial Commission, Spanish Government European Regional Development Fund), projects numbers CTQ2006-10329/PPQ and AGL2009-13113 for their support, and to the "Ramon y Cajal", "Juan de la Cierva" and FPU Programs of the Spanish Ministry of Science and Innovation.},
publisher = {Elsevier},
title = {Neural fuzzy model applied to autohydrolysis of Paulownia trihybrid},
doi = {10.1016/j.jtice.2010.07.008},
author = {Zamudio, Minerva A. M. and Pérez Muñoz, Antonio and López Baldovín, Francisco and García Domínguez, Juan Carlos and Feria Infante, Manuel Javier and Alfaro Martínez, Ascensión},
}