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Capacity from a Signal to Noise Ratio

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Neural Network Models
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Abstract

In this chapter, we answer the same question as in the last one, namely how many equilibria or fixed vectors the network has. The difference is that we have made a particular choice for the weight matrix, using the sum-of-outerproducts [60]. Because an extra restriction is imposed on the weight matrix, one expects to find a lower capacity, and we will see that this is indeed the case.

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© 1997 Springer-Verlag Berlin Heidelberg

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De Wilde, P. (1997). Capacity from a Signal to Noise Ratio. In: Neural Network Models. Springer, London. https://doi.org/10.1007/978-1-84628-614-8_7

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  • DOI: https://doi.org/10.1007/978-1-84628-614-8_7

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76129-7

  • Online ISBN: 978-1-84628-614-8

  • eBook Packages: Springer Book Archive

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