Title: Modeling Intermittent Drying Using an Adaptive Neuro-Fuzzy Inference System
Abstract: ABSTRACT Artificial intelligence systems such as artificial neural networks (ANN) and fuzzy inference systems (FIS) are widely accepted as a technology offering an alternative way to tackle complex and ill-defined problems. The advantages of a combination of ANN and FIS are obvious. This article presents the application of a hybrid neuro-fuzzy system called adaptive-network-based fuzzy inference system (ANFIS) to time dependent drying processes and is illustrated by an application to model intermittent drying of grains in a spouted bed. An introduction to the ANFIS modeling approach is also presented. The model showed good performance in terms of various statistical indices.
Publication Year: 2005
Publication Date: 2005-05-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 32
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