Cost-performance evaluation of analog neural networks and high order networks

M. Sipper*, Y. Yeshurun

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


High order networks, studied over the past few years, have been shown to improve learning rates, increase storage capacity and reduce the number of layers required in comparison with first order nets. One issue which usually remains in the background, is the relative cost-performance of such nets. In this paper we address this issue in a more general framework, which we define, namely generalized high order networks. We present a cost-performance model and demonstrate its usability by analyzing some well-known first and high order networks. Our aim is to provide a simple, yet illuminating model, which enables the evaluation and analysis of generalized high order networks.

Original languageEnglish
Pages (from-to)291-303
Number of pages13
Issue number3
StatePublished - Jun 1994


  • Cost-performance analysis
  • analog neural networks
  • high order networks


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