An Optimization Method for LDO Design Based on ANN Algorithm-Reference-Cited by-同舟云学术

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An Optimization Method for LDO Design Based on ANN Algorithm

Published:2023-07-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT)
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Author:

Xu Qing¹,He Ying²,Lai Guangsheng³,Wang Qingzhou²,Sun Yanhui⁴,Jia Qingjia¹,Li Yuanyue²,Chen Rui⁵,Yao Zhao²

Affiliation:

1. Qingdao University,Wanlian Index (Qingdao) Information Technology Co., LTD,Qingdao,China

2. College of Electronics and Information, Qingdao University,Qingdao,China

3. College of Engineering, Chengdu College of University of Electronic Science and Technology,Chengdu,China

4. Qingdao Zhancheng Technology Co., LTD,EDA R&D Department,Qingdao,China

5. Qingdao Zhancheng Technology Co., LTD,Engineering Department,Qingdao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244769/10244774/10245364.pdf?arnumber=10245364

Reference12 articles.

1. Design of low dropout regulator using artificial bee colony evolutionary algorithm

2. Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming

3. A Fully Integrated LDO With 50-mV Dropout for Power Efficiency Optimization

4. An enhanced operational amplifier macro model based on artificial neural network

5. An Efficient Bayesian Optimization Approach for Automated Optimization of Analog Circuits

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