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Input preprocessing for neural feedforward architecture

  • Beliczynski B
Springer Berlin Heidelberg, (2004), 633-641
DOI: 10.1007/978-3-540-39985-8_71
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Abstract

The usefulness of input preprocessing for feedforward neural architecture is presented and discussed. We have shown importance of signal normalization, choice of sampling time, nonlinear transformation to make input signals spectra compatible and dynamical orthonormal preprocessing for non-static systems. In particular some serious limitations of widely know tapped delay architecture are presented.

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Beliczynski, B. (2004). Input preprocessing for neural feedforward architecture. In Intelligent Information Processing and Web Mining (pp. 633–641). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-39985-8_71

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