Comparing success levels of different neural network structures in extracting discriminative information from the response patterns of a temperature-modulated resistive gas sensorHosseini-Golgoo, S M; Bozorgi, H; Saberkari, A · Measurement Science and Technology · 2015

Case study: Comparing the use of nonlinear discriminating analysis and Artificial Neural Networks in the classification of three fish species: acaras (Geophagus brasiliensis), tilapias (Tilapia rendalli) and mullets (Mugil liza)R.A. Hauser-Davis; T.F. Oliveira; A.M. Silveira; T.B. Silva; R.L. Ziolli · 2010