Abstract
In this chapter and the following, we will concentrate exclusively on the number of attractors or equilibria that can be stored in the network. This number is called the capacity of the network, and it is one of the most important characteristics of a network. If a neural network is used as an associative memory, the first property the user will want to know is how much can be stored in the memory.
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© 1997 Springer-Verlag Berlin Heidelberg
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De Wilde, P. (1997). Linear Capacity. In: Neural Network Models. Springer, London. https://doi.org/10.1007/978-1-84628-614-8_6
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DOI: https://doi.org/10.1007/978-1-84628-614-8_6
Publisher Name: Springer, London
Print ISBN: 978-3-540-76129-7
Online ISBN: 978-1-84628-614-8
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