engleski

Neural Network Application Feasibility in Graphic Reproduction Processes

Complexity of graphics reproductions processes and their numerous parameters demands sophisticated approach. We present brief look of possibilities of neural network as a generation tool for solutions in wide aspect of complex problems which emerge in processes of graphics reproduction. Optimization of certain processes such as paper production, recycling or printing due to their complexness and mutual dependence of numerous parameters and fine interaction effects is ideal field for neural network application. This method can be powerful tool for mathematical solution demands on problem concerning quality monitoring and validation in graphical reproduction processes.

graphic reproduction; neutral network

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