Abstract
The paper deals with homogeneous neural networks of the feed-forward type. Contrary to the classical learning methods, the authors present a theoretical approach to a new method of neural network design. As an example, the designing of the neural network for ridges detection in interferometry images has been presented. To ensure the correctness of theoretical considerations, several results of experiments obtained with real images have been presented as well.
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References
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© 2003 Springer-Verlag Berlin Heidelberg
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Dudek-Dyduch, E., Gomółka, Z. (2003). Neural Network Design without Learning. In: Rutkowski, L., Kacprzyk, J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1902-1_24
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DOI: https://doi.org/10.1007/978-3-7908-1902-1_24
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0005-0
Online ISBN: 978-3-7908-1902-1
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