A note on the complex and bicomplex valued neural networks
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 41 references that are in the map. First posted on arXiv 4 Feb 2022.
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References · 3
- 2020The Strategic Perceptroncited by 48
- 2013Neuronal Synchrony in Complex-Valued Deep Networkscited by 28
- 2014Simulating a perceptron on a quantum computercited by 16
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