Hybrid neural modeling of bioprocesses using functional link networks |
| |
Authors: | Harada Layse H P da Costa Aline C Filho Rubens Maciel |
| |
Institution: | (1) DPQ/FEQ/UNICAMP, Cx. Postal 6066, CEP 13081-970 Campinas, SP, Brazil |
| |
Abstract: | The objective of this work was to develop a model for an extractive ethanol fermentation in a simple and rapid way. This model
must be sufficiently reliable to be used for posterior optimization and control studies. A hybrid neural model was developed,
combining mass and energy balances with neural networks, which describe the process kinetics. To determine the best model,
two structures of neural networks were compared: the functional link networks and the feedforward neural networks. The two
structures are shown to describe well the process kinetics, and the advantages of using the functional link networks are discussed. |
| |
Keywords: | Extractive alcoholic fermentation functional link networks hybrid model bioprocess modeling |
本文献已被 SpringerLink 等数据库收录! |