Abstract
In the past ten years there has been an explosion of academic interest in Neural Network research, yet the techniques are still viewed with some suspicion by many engineers faced with real world problems. The purpose of this paper is to illustrate how a simple neural network is being used to help solve a difficult physical problem. The work, sponsored by Courtaulds Research, involves colour recipe prediction. It is a difficult problem to solve using conventional computer techniques as the model that is most widely used (Kubelka-Munk theory) breaks down under a variety of conditions. The paper will discuss several of the design decisions, common to many neural network applications, that have been made in the process of developing the Courtaulds Recipe Prediction System.
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© 1991 Computational Mechanics Publications
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Bishop, J.M., Bushnell, M.J., Usher, A., Westland, S. (1991). Neural Networks in the Colour Industry. In: Rzevski, G., Adey, R.A. (eds) Applications of Artificial Intelligence in Engineering VI. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3648-8_27
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DOI: https://doi.org/10.1007/978-94-011-3648-8_27
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