Weld modeling and control using artificial neural networks

1995 ◽  
Vol 31 (6) ◽  
pp. 1484-1491 ◽  
Author(s):  
G.E. Cook ◽  
R.J. Barnett ◽  
K. Andersen ◽  
A.M. Strauss
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Modeling And Control ◽  
Artificial Neural ◽  
And Control

Modeling and Control of the Lithographic Offset Color Printing Process Using Artificial Neural Networks

1994 ◽  
Vol 116 (2) ◽  
pp. 274-276 ◽  
Author(s):  
Ming-Shong Lan ◽  
P. Lin ◽  
J. Bain
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Process Model ◽  
Spatial Relationship ◽  
Printing Process ◽  
Modeling And Control ◽  
Color Printing ◽  
Artificial Neural ◽  
Flow Effects ◽  
And Control

This paper investigates the use of artificial neural networks (ANNs) for modeling and control of the lithographic offset color printing process. The color controller consists of two ANNs; the controller network, which learns an inverse model of the process, takes a set of desired colors as input and generates a set of ink key settings, while the model network learns a forward model of the process through which the controller network can be adapted by using the error backpropagation method. We use three-layer networks with “local” connections between neurons of adjacent layers for the process model as well as for the controller; the architectures address the spatial relationship of multiple inking zones and consider the crosswise ink flow effects existing in the printing process.

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