Ho et al., 2019 - Google Patents
Automated design optimization for CMOS rectifier using deep neural network (DNN)Ho et al., 2019
- Document ID
- 2878007875079597679
- Author
- Ho H
- Lau W
- Publication year
- Publication venue
- 2019 IEEE Wireless Power Transfer Conference (WPTC)
External Links
Snippet
A previously designed CMOS rectifier is optimized with the help of Deep Neural Network (DNN) to identify maximum power conversion efficiency (PCE) for various input RF power (from antenna) and load conditions. The condition for an additional improvement of 1.8% in …
- 230000001537 neural 0 title abstract description 23
Classifications
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- G—PHYSICS
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- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/08—Learning methods
- G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
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- G—PHYSICS
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
- G06F17/5036—Computer-aided design using simulation for analog modelling, e.g. for circuits, spice programme, direct methods, relaxation methods
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G—PHYSICS
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