High speed detection of potato and clod using an acoustic based intelligent system

Expert Systems with Applications

Volumn 38, Issue 10, 2011, Pages 12101-12106

  Hosainpour, Adel ^a   Komarizade, Mohammad H ^b   Mahmoudi, Asghar ^c   Shayesteh, Mahrokh G ^b  

^a ILAM UNIVERSITY   (Iran)

^b URMIA UNIVERSITY   (Iran)

^c UNIVERSITY OF TABRIZ   (Iran)

Author keywords

Acoustics; Clod; Discriminating; Neural networks; Potato; Separation

Indexed keywords

ACOUSTIC SIGNALS; ARTIFICIAL NEURAL NETWORK MODELS; BELT VELOCITY; CLOD; CORRELATION COEFFICIENT; DETECTION ACCURACY; DETECTION RATES; DISCRIMINATING; HIGH-SPEED DETECTION; INPUT VECTOR; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; OPTIMAL NETWORKS; POTATO; POTATO TUBERS; POTENTIAL FEATURES; SEPARATION SYSTEMS; SOUND SIGNAL; STEEL PLATES; TIME AND FREQUENCY DOMAINS;

BELT CONVEYORS; ERROR DETECTION; HARVESTERS; INTELLIGENT SYSTEMS; PATTERN RECOGNITION; SIGNAL DETECTION;

NEURAL NETWORKS;

EID: 79957987652     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.02.164     Document Type: Article

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