Invention Grant
- Patent Title: Neural network transfer learning for quality of transmission prediction
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Application No.: US16153018Application Date: 2018-10-05
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Publication No.: US11461635B2Publication Date: 2022-10-04
- Inventor: Yue-Kai Huang , Shaoliang Zhang , Ezra Ip , Weiyang Mo
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Laboratories America, Inc.
- Current Assignee: NEC Laboratories America, Inc.
- Current Assignee Address: US NJ Princeton
- Agent Joseph Kolodka
- Main IPC: G06N3/08
- IPC: G06N3/08 ; H04B10/556 ; G06N3/04 ; H04B10/077 ; H04B10/54

Abstract:
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.
Public/Granted literature
- US20190108445A1 NEURAL NETWORK TRANSFER LEARNING FOR QUALITY OF TRANSMISSION PREDICTION Public/Granted day:2019-04-11
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