Z-transform artificial neural networks

نویسنده

  • Piotr Szymczyk
چکیده

This paper focuses on a new kind of artificial neural networks – the Z-transform artificial neural networks (ZTANN). It is proposed to use the Z-transform instead of ordinary weights and a linear activation function of an artificial neuron. This extension allows to use artificial neural networks in new areas. The ordinary description of artificial neural networks is a special case of the description proposed in this article. It also contains a description of the use of the ZTANN for automatic identification of objects in digital control system.

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عنوان ژورنال:
  • Neurocomputing

دوره 168  شماره 

صفحات  -

تاریخ انتشار 2015