Fast and Precise High-Speed Channel Modeling and Optimization Technique Based on Machine Learning
IEEE Transactions on Electromagnetic Compatibility, ISSN: 0018-9375, Vol: 60, Issue: 6, Page: 2049-2052
2018
- 41Citations
- 11Usage
- 17Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations41
- Citation Indexes41
- 41
- CrossRef17
- Usage11
- Abstract Views11
- Captures17
- Readers17
- 17
Article Description
This letter proposes a fast and precise high-speed channel modeling and optimization technique based on machine learning algorithms. Resistance, inductance, conductance, and capacitance (RLGC) matrices of a high-speed channel are precisely modeled by design-of-experiment method and artificial neural network. In addition, an optimal channel design, which achieves minimum channel loss and crosstalk, is investigated within short time by a genetic algorithm. The performance of the proposed technique is validated by simulations up to 20 GHz.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85040067457&origin=inward; http://dx.doi.org/10.1109/temc.2017.2782704; http://ieeexplore.ieee.org/document/8239852/; http://xplorestaging.ieee.org/ielx7/15/4358749/08239852.pdf?arnumber=8239852; https://ieeexplore.ieee.org/document/8239852/; https://scholarsmine.mst.edu/ele_comeng_facwork/3537; https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=4542&context=ele_comeng_facwork
Institute of Electrical and Electronics Engineers (IEEE)
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