A neuro-fuzzy framework for predicting ash properties in combustion processes

This paper describes a neuro-fuzzy modeling framework for predicting the properties of ashes originated from combustion processes for electric generation. The prediction problem is tackled by means of a neuro-fuzzy system in which a neural network and a fuzzy system are combined in a fused architecture, so that the structure and the parameters of the fuzzy rule base are determined via a two-phase learning of the neural network. The modeling framework is composed of two modeling strategies that enable development of both MIMO and MISO neuro-fuzzy models. Experimental results demonstrate that models derived by the proposed framework delivered satisfactory results in spite of the significant complexity of the considered problem.



Titolo: A neuro-fuzzy framework for predicting ash properties in combustion processes
Autori: 
CASTELLANO, GIOVANNA
CASTIELLO, CIRO
FANELLI, Anna Maria
mostra contributor esterni 
Data di pubblicazione: 2003
Rivista: 
NEURAL, PARALLEL & SCIENTIFIC COMPUTATIONS.  
Handle: http://hdl.handle.net/11586/115804
Appare nelle tipologie:1.1 Articolo in rivista

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