Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/288629 
Year of Publication: 
2020
Citation: 
[Journal:] Journal of Revenue and Pricing Management [ISSN:] 1477-657X [Volume:] 19 [Issue:] 5 [Publisher:] Palgrave Macmillan UK [Place:] London [Year:] 2020 [Pages:] 292-301
Publisher: 
Palgrave Macmillan UK, London
Abstract: 
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.
Subjects: 
Machine learning
Fuzzy neural networks
Resource management
Storage usage
Adaptive second-order algorithm
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.