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A note on the complex and bicomplex valued neural networks

  • arXiv (Cornell University)
  • Cornell University
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Abstract

In this paper we first write a proof of the perceptron convergence algorithm for the complex multivalued neural networks (CMVNNs). Our primary goal is to formulate and prove the perceptron convergence algorithm for the bicomplex multivalued neural networks (BMVNNs) and other important results in the theory of neural networks based on a bicomplex algebra.

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Publication details

DOI
10.48550/arxiv.2202.02354
OpenAlex
W4221140479
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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