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Stochastic Optimization

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Abstract

The applicability of the template design method proposed in Chapter 3 is restricted to the class of locally regular operations executed on single-layer CNNs with bipolar outputs and linear templates. For all other template design problems and types of CNNs, one has to resort to more general optimization techniques, which will not provide analytical but numerical solutions.

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© 2000 Springer Science+Business Media Dordrecht

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Hänggi, M., Moschytz, G.S. (2000). Stochastic Optimization. In: Hänggi, M., Moschytz, G.S. (eds) Cellular Neural Networks. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3220-7_6

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  • DOI: https://doi.org/10.1007/978-1-4757-3220-7_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-4988-2

  • Online ISBN: 978-1-4757-3220-7

  • eBook Packages: Springer Book Archive

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