Title :
Application of wave-nets to modelling and optimisation of a multidimensional chemical process
Author :
Safavi, A.A. ; Romagnoli, J.A.
Author_Institution :
ICI Process Syst. Eng. Lab., Sydney Univ., NSW, Australia
Abstract :
Wave-nets are wavelet-based neural networks with localised and hierarchical multiresolution learning. The multiresolution framework of wave-nets is briefly explained. Then, wave-nets are employed to simplify the mechanistic model of a distillation column. Further, the capability of the wave-net model is verified within an optimisation study of the column
Keywords :
chemical technology; learning (artificial intelligence); optimisation; wavelet transforms; distillation column; hierarchical multiresolution learning; localised multiresolution learning; mechanistic model; modelling; multidimensional chemical process; optimisation; wave-nets; wavelet-based neural networks; Chemical processes; Discrete wavelet transforms; Distillation equipment; Energy resolution; Equations; Multidimensional systems; Multiresolution analysis; Power system modeling; Systems engineering and theory; Wavelet analysis;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.488880
