Fuzzy ART-BP Algorithm Based on Intelligent Ink Presetting Technology

摘要

It is a comprehensive problem to accurately set the ink key opening of every ink zone for a specific press according to the color coverage of the graphical content which will be printed on the sheet. In this paper, a new-type neural network is proposed to preset the key opening of the ink zones, which combines the fuzzy ART neural network and BP neural network, and is with the capability of half-incremental learning and good generalization. The actual qualified printed sheets are used as training samples to train fuzzy ART-BP network, so that the nonlinear mapping relationship among graphic digital information, printing conditions, and ink key control parameters is established. The experimental results indicate that the fuzzy ART-BP network algorithm could effectively shorten adjusting time of the ink key setting and improve printing efficiency.