Prediction Method of Driving Strategy of High-Power IGBT Module Based on MEA-BP Neural Network

Author:

Meng ZhaoliangORCID,Yang Yuan,Gao Yong,Ai Shengsheng,Zhang YueORCID,Lv Yaru,Zhang Zetao,Wen Yang,Wu Lei,Zhang Ping,Thomson John Douglas

Funder

National Natural Science Foundation of China

Key Research and Development Program of Shaanxi in Shaanxi, China

College Talent Service Enterprise Engineering

Xi’an Science and Technology Plan Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhanced marine predators algorithm optimized support vector machine for IGBT switching power loss estimation;Measurement Science and Technology;2023-10-26

2. Narrowband Frequency Domain Optimized Gate Driving Signals for Power Transistors of DC/DC Converters;2023 International Symposium on Electromagnetic Compatibility – EMC Europe;2023-09-04

3. Soil Salinity Inversion Model Based on BPNN Optimization Algorithm for UAV Multispectral Remote Sensing;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

4. Application of improved BP neural network model in bank financial accounting;Intelligent Systems with Applications;2022-11

5. Financial Management Early Warning Based on Three BP-NNs Improved Algorithms;2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC );2022-10-03

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