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IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks

Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks

Gopathy Purushothaman, Nicolaos B. Karayiannis

Published Dec 23, 2002• 148 citations
Publisher

Abstract

This paper introduces quantum neural networks (QNNs), a class of feedforward neural networks which are inherently capable of estimating the structure of a feature space in the form of fuzzy membership information. The hidden units of these networks develop quantized representations of the crisp sample information provided by the training set in various graded levels of certainty. Experimental results show that QNNs have an inherent ability for recognizing structures in the feature space that conventional feedforward neural networks with sigmoidal hidden units lack.

DOI
10.1109/icnn.1996.549049

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