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^m^'fq^k'bJ_^pba=qljldo^mev=cilt=m^qqbok= i^ppfcf'^qflk=rpfkd=fkqbiifdbkq='i^ppfcfbop=tfqe= slqfkd=qb'ekfnrb= grkfq^=jle^j^aJp^ibe NG I=olpifk=g^j^irafk O== C=e^cfw^e=q^if_ P = = Äëíê~ÅíK This paper presents a method for Electrical Capacitance Tomography (ECT) flow classification using voting technique, employing Multilayer Perceptrons (MLPs) as the intelligent pattern classifiers. MLP classifiers were trained with a set of simulated ECT data associated to various flow patterns and was testeddoi:10.11113/jt.v55.892 fatcat:q64sglhjsran3pgmv5uhkazso4