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.
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|Titolo:||A neuro-fuzzy framework for predicting ash properties in combustion processes|
|Data di pubblicazione:||2003|
|Appare nelle tipologie:||1.1 Articolo in rivista|