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Network Structure and Network Learning

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Abstract

As we have seen in the previous chapters, dynamical systems may show non-trivial cognitive behaviour. Consider, for example, the Hopfield networks, dealt with in Chap. 4, which respond to the initial conditions by evolving towards a fixed point: they may be considered as cognitive systems capable of learning, and their memory is coded in the weights of the interconnections between elements.

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© 1990 Springer-Verlag Berlin Heidelberg

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Serra, R., Zanarini, G. (1990). Network Structure and Network Learning. In: Complex Systems and Cognitive Processes. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46678-6_5

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  • DOI: https://doi.org/10.1007/978-3-642-46678-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-46680-9

  • Online ISBN: 978-3-642-46678-6

  • eBook Packages: Springer Book Archive

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