WITHDRAWAL: Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method

IF 1.9 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
IET Networks Pub Date : 2026-08-25 DOI:10.1049/ntw2.12073
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引用次数: 0

Abstract

WITHDRAWAL: R. Li, Q. Zeng, “Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method”, IET Networks (2022): e12073. https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ntw2.12073

The above article, published online on 05 December 2022, on Wiley Online Library (wileyonlinelibrary.com), has been withdrawn by agreement between the Institution of Engineering and Technology and John Wiley & Sons Ltd. UK. The withdrawal has been agreed as this manuscript was under consideration, but the journal decided not to proceed with publication. However, the article was accidentally published due to a technical error on the part of Wiley, the publisher, as an unedited accepted article prior to the version of record.

产品创新设计方法中的大数据技术融合反向传播神经网络
引用本文:李仁杰,曾强,“大数据技术融合反向传播神经网络在产品创新设计中的应用”,计算机工程学报(2022):992 - 992。https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ntw2.12073The以上文章于2022年12月5日在线发表在Wiley在线图书馆(wileyonlinelibrary.com)上,经工程技术学会和约翰·威利父子有限公司协议撤回。英国。由于这篇手稿正在考虑中,撤稿已被同意,但该杂志决定不继续发表。然而,由于出版商Wiley的技术错误,这篇文章被意外地发表为未编辑的接受文章,而不是记录的版本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Networks
IET Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
5.00
自引率
0.00%
发文量
41
审稿时长
33 weeks
期刊介绍: IET Networks covers the fundamental developments and advancing methodologies to achieve higher performance, optimized and dependable future networks. IET Networks is particularly interested in new ideas and superior solutions to the known and arising technological development bottlenecks at all levels of networking such as topologies, protocols, routing, relaying and resource-allocation for more efficient and more reliable provision of network services. Topics include, but are not limited to: Network Architecture, Design and Planning, Network Protocol, Software, Analysis, Simulation and Experiment, Network Technologies, Applications and Services, Network Security, Operation and Management.
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