Power Electronics Turing Test: A Path Toward Strong AI in Power Electronics
Author:
Affiliation:
1. Andlinger Center for Energy and the Environment, Princeton University,Department of Electrical and Computer Engineering,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10613862/10613936/10613961.pdf?arnumber=10613961
Reference17 articles.
1. Deep learning
2. Design Automation of Analog and Mixed-Signal Circuits Using Neural Networks – A Tutorial Brief
3. AEM-PCB Reverser: Circuit Schematic Generation in PCB Reverse Engineering Using Reinforcement Learning Based On Aesthetic Evaluation Metric
4. GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
5. ImageNet: A large-scale hierarchical image database
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