Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks
In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the sizing task of RF IC design, which is used in two different steps of the automatic design process. The advances in telecommunications, such as the 5th generation broadband or 5G for short, open doo...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
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| Kaituhi rangatōpū: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Putanga: | 1st ed. 2023. |
| Rangatū: | SpringerBriefs in Computational Intelligence,
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| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-3-031-25099-6 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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Rārangi ihirangi:
- Chapter 1. Introduction
- Chapter 2. Related Work: Machine Learning and Electronic Design Automation
- Chapter 3. Convergence Classifier & Frequency Guess Predictor based on ANNs
- Chapter 4. Process, Voltage and Temperature Corner Performance Estimator using ANNs
- Chapter 5. Conclusions.