doi: 10.7763/IJCTE.2009.V1.15
Modeling of Fluid Industry Based on Flexible Neural Tree
Abstract
Realizing optimal control of fluid industry is a difficult problem due to its features of complexity, strong correlation, non-linear and uncertainty. For solving the problem, we propose build the whole model for it. Cement production process is taken as an instance, and its production process model is gotten by evolving flexible neural tree (FNT).The FNT model’s structure and parameters are optimized by probabilistic incremental program evolution (PIPE) and simulation annealing (SA) respectively. The result demonstrates that the put forward method is effective and feasible for solving the problem.
Keywords
- fluid industry
- flexible neural tree
- probabilistic incremental program evolution
- simulation annealing
How to Cite
QU Shou-ning, LIU Zhao-lian, CUI Guang-qiang, and FUAi-fang, "Modeling of Fluid Industry Based on Flexible Neural Tree," International Journal of Computer Theory and Engineering, vol. 1, no. 1, pp. 97-101, 2009. https://doi.org/10.7763/IJCTE.2009.V1.15
Copyright & License
Copyright © 2009 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).