A new approach to modeling and control of a food extrusion process using artificial neural network and an expert system

TY - JOUR

T1 - A new approach to modeling and control of a food extrusion process using artificial neural network and an expert system

AU - Popescu, Otilia

AU - Popescu, Dimitrie C.

AU - Wilder, Joseph

AU - Karwe, Mukund V.

PY - 2001/3

Y1 - 2001/3

N2 - The paper presents a new approach to the modeling of the start-up part of a food extrusion process. A neural network model is proposed and its parameters are determined. Simulation results with real data are also presented. The inputs and outputs of the model are among those used by the human operator during the start-up process for control. An intelligent controller structure that uses an expert system and "delta-variations" to modify inputs is also proposed.

AB - The paper presents a new approach to the modeling of the start-up part of a food extrusion process. A neural network model is proposed and its parameters are determined. Simulation results with real data are also presented. The inputs and outputs of the model are among those used by the human operator during the start-up process for control. An intelligent controller structure that uses an expert system and "delta-variations" to modify inputs is also proposed.

UR - http://www.scopus.com/inward/record.url?scp=0035268153&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035268153&partnerID=8YFLogxK

U2 - https://doi.org/10.1111/j.1745-4530.2001.tb00529.x

DO - https://doi.org/10.1111/j.1745-4530.2001.tb00529.x

M3 - Article

SN - 0145-8876

VL - 24

SP - 17

EP - 36

JO - Journal of Food Process Engineering

JF - Journal of Food Process Engineering

IS - 1

ER -