Analog IC Placement Generation via Neural Networks from Unlabeled Data
In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the placement task in analog integrated circuit layout design, by creating a generalized model that can generate valid layouts at push-button speed. Further, it exploits ANNs’ generalization and push-b...
| Main Authors: | , , , |
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| Corporate Author: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Series: | SpringerBriefs in Applied Sciences and Technology,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-50061-0 |