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  5. Analog IC Placement Generation via Neural Networks from Unlabeled Data

Analog IC Placement Generation via Neural Networks from Unlabeled Data

af Antonio Gusmao

indgår i SpringerBriefs in Applied Sciences and Technology serien

Analog IC Placement Generation via Neural Networks from Unlabeled Data af Antonio Gusmao
Bag om Analog IC Placement Generation via Neural Networks from Unlabeled Data

This approach yields device-level descriptions of the input topology that, for each device, focus on describing its relation to every other device in the topology. By means of these descriptions, an unfamiliar overall topology can be broken down into devices that are subject to the same constraints as a device in one of the training topologies.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030500603
  • Indbinding:
  • Paperback
  • Sideantal:
  • 87
  • Udgivet:
  • 1. juli 2020
  • Udgave:
  • 12020
  • Størrelse:
  • 155x235x0 mm.
  • Vægt:
  • 454 g.
  • 8-11 hverdage.
  • 17. januar 2025
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This approach yields device-level descriptions of the input topology that, for each device, focus on describing its relation to every other device in the topology. By means of these descriptions, an unfamiliar overall topology can be broken down into devices that are subject to the same constraints as a device in one of the training topologies.

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