Abstract
It is presented an orthogonal neural network which uses parallel iterative filters in its hidden layer. Orthogonality gives a high storage capacity of the network and its iterative filters get an accurate response. Also, this filters are implemented by a parallel process for getting a quick convergence time. As a simple example of application, we use it to learn several natural textures and its classification.
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Ibarra-Picó, F., García-Chamizo, J.M., Satorre-Cuerda, R. (1995). An Orthogonal Neural Network with Guaranted Recall by Iterative Filters and Its Application to Texture Discrimination. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7535-4_50
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DOI: https://doi.org/10.1007/978-3-7091-7535-4_50
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82692-8
Online ISBN: 978-3-7091-7535-4
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