Understanding ART-based neural algorithms as statistical tools for manufacturing process quality control

Engineering Applications of Artificial Intelligence

Volumn 18, Issue 6, 2005, Pages 645-662

  Pacella, Massimo ^a   Semeraro, Quirico ^b  

^a UNIVERSITY OF SALENTO   (Italy)

^b POLITECNICO DI MILANO   (Italy)

Author keywords

Adaptive resonance theory; Artificial intelligence; Cluster analysis; Neural network design; Statistical process control

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; PROBLEM SOLVING; QUALITY CONTROL; REGRESSION ANALYSIS; RESONANCE; STATISTICAL PROCESS CONTROL;

ADAPTIVE RESONANCE THEORY; CLUSTER ANALYSIS; NEURAL NETWORK DESIGN; NONLINEAR REGRESSION;

NEURAL NETWORKS;

EID: 20144384127     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2005.02.001     Document Type: Article

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