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Notice of Retraction: An Efficient High-Speed Channel Modeling Method Based on Optimized Design-of-Experiment (DoE) for Artificial Neural Network Training
Research article (IEEE Transactions on Electromagnetic Compatibility, 2018) · cited 13× · AI/ML
Notice of Retraction: An Efficient High-Speed Channel Modeling Method Based on Optimized Design-of-Experiment (DoE) for Artificial Neural Network Training
Summary
Notice of Retraction: An Efficient High-Speed Channel Modeling Method Based on Optimized Design-of-Experiment (DoE) for Artificial Neural Network Training is a scholarly article[1].
Key Facts
Notice of Retraction: An Efficient High-Speed Channel Modeling Method Based on Optimized Design-of-Experiment (DoE) for Artificial Neural Network Training's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Notice of Retraction: An Efficient High-Speed Channel Modeling Method Based on Optimized Design-of-Experiment (DoE) for Artificial Neural Network Training. Retrieved May 24, 2026, from https://4ort.xyz/entity/notice-of-retraction-an-efficient-high-speed-channel-modeling-method-based-on-optimized-design-of-experiment-doe-for-art
MLA“Notice of Retraction: An Efficient High-Speed Channel Modeling Method Based on Optimized Design-of-Experiment (DoE) for Artificial Neural Network Training.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/notice-of-retraction-an-efficient-high-speed-channel-modeling-method-based-on-optimized-design-of-experiment-doe-for-art.
BibTeX@misc{4ortxyz_notice-of-retraction-an-efficient-high-speed-channel-modeling-method-based-on-optimized-design-of-experiment-doe-for-art_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Notice of Retraction: An Efficient High-Speed Channel Modeling Method Based on Optimized Design-of-Experiment (DoE) for Artificial Neural Network Training}}, year = {2026}, url = {https://4ort.xyz/entity/notice-of-retraction-an-efficient-high-speed-channel-modeling-method-based-on-optimized-design-of-experiment-doe-for-art}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Notice of Retraction: An Efficient High-Speed Channel Modeling Method Based on Optimized Design-of-Experiment (DoE) for Artificial Neural Network Training — https://4ort.xyz/entity/notice-of-retraction-an-efficient-high-speed-channel-modeling-method-based-on-optimized-design-of-experiment-doe-for-art (retrieved 2026-05-24)
