Improving a fuzzy neural network for predicting storage usage and calculating customer value

Predicting the behavior of customers plays a crucial role in the quality of resource management and customer services. In this article, a fuzzy neural network model for predicting the customer storage usage is identified. The identified fuzzy neural network is improved and finally the result of the improved fuzzy neural network is compared with some other fuzzy neural network and other prediction methods.

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Year of publication:	2020
Authors:	Rabieyan, Reza ; Pohl, Philipp
Published in:	Journal of Revenue and Pricing Management. - London : Palgrave Macmillan UK, ISSN 1477-657X. - Vol. 19.2020, 5, p. 292-301
Publisher:	London : Palgrave Macmillan UK
Subject:	Machine learning \| Fuzzy neural networks \| Resource management \| Storage usage \| Adaptive second-order algorithm

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Type of publication:	Article
Type of publication (narrower categories):	Article
Language:	English
Other identifiers:	10.1057/s41272-020-00253-3 [DOI]
Source:	EconStor

Persistent link: https://www.econbiz.de/10014503569