Neural network transfer learning for quality of transmission prediction

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United States of America Patent

PATENT NO 11461635
APP PUB NO 20190108445A1
SERIAL NO

16153018

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Abstract

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Systems and methods for predicting performance of a modulation system are provided. A neural network model is trained using performance information of a source system. The neural network model is modified with transferable knowledge about a target system to be evaluated. The neural network model is tuned using specific characteristics of the target system to create a source-based target model. The target system performance is evaluated using the source-based target model to predict system performance of the target system.

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Patent OwnerAddress
NEC CORPORATION7-1 SHIBA 5-CHOME MINATO-KU TOKYO 1088001 ?1088001

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Huang, Yue-Kai Princeton, US 68 482
Ip, Ezra West Windsor, US 50 222
Mo, Weiyang Sunnyvale, US 6 21
Zhang, Shaoliang Princeton, US 64 502

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