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THE EFFECT OF SAMPLE-SIZE AND VARIABILITY OF DATA ON THE COMPARATIVE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS AND REGRESSION
Authors: MARKHAM IS RAKES TR
Citation: Is. Markham et Tr. Rakes, THE EFFECT OF SAMPLE-SIZE AND VARIABILITY OF DATA ON THE COMPARATIVE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS AND REGRESSION, Computers & operations research, 25(4), 1998, pp. 251-263
NEURAL-NETWORK IDENTIFICATION OF CRITICAL FACTORS IN A DYNAMIC JUST-IN-TIME KANBAN ENVIRONMENT
Authors: WRAY BA RAKES TR REES LP
Citation: Ba. Wray et al., NEURAL-NETWORK IDENTIFICATION OF CRITICAL FACTORS IN A DYNAMIC JUST-IN-TIME KANBAN ENVIRONMENT, Journal of intelligent manufacturing, 8(2), 1997, pp. 83-96
A NETWORK SIMULATION OF HIGH-CONGESTION ROAD-TRAFFIC FLOWS IN CITIES WITH MARINE CONTAINER TERMINALS
Authors: POPE JA RAKES TR REES LP CROUCH IWM
Citation: Ja. Pope et al., A NETWORK SIMULATION OF HIGH-CONGESTION ROAD-TRAFFIC FLOWS IN CITIES WITH MARINE CONTAINER TERMINALS, The Journal of the Operational Research Society, 46(9), 1995, pp. 1090-1101
A MULTIPLE-OBJECTIVE APPROACH FOR CONSTRUCTING ATTRIBUTE-SAMPLING PLANS FOR NONSERIAL ASSEMBLY ITEMS
Authors: BAKER JR CLAYTON ER MATHESON LA RAKES TR
Citation: Jr. Baker et al., A MULTIPLE-OBJECTIVE APPROACH FOR CONSTRUCTING ATTRIBUTE-SAMPLING PLANS FOR NONSERIAL ASSEMBLY ITEMS, International Journal of Production Research, 32(7), 1994, pp. 1599-1613
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