US 11,657,273 B2
Hardware structure aware adaptive learning based power modeling method and system
Yao-Hua Chen, Fangyuan Township (TW); Jing-Jia Liou, Hsinchu (TW); Chih-Tsun Huang, Hsinchu (TW); and Juin-Ming Lu, Hsinchu (TW)
Assigned to INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE, Hsinchu (TW)
Filed by INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE, Hsinchu (TW)
Filed on Dec. 27, 2019, as Appl. No. 16/728,341.
Prior Publication US 2021/0201127 A1, Jul. 1, 2021
Int. Cl. G06N 3/08 (2023.01); G06N 3/049 (2023.01); G06N 3/044 (2023.01)
CPC G06N 3/08 (2013.01) [G06N 3/044 (2023.01); G06N 3/049 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An adaptive learning power modeling method, comprising:
sampling at least one of a plurality of network components to form a power consumption evaluation network according to at least one parameter within a parameter range;
evaluating a predictive power consumption of a to-be-measured circuit by the power consumption evaluation network;
training and evaluating an actual power consumption and the predictive power consumption of the to-be-measured circuit to obtain an evaluation result; and
performing training according to the evaluation result to determine whether to change the power consumption evaluation network,
wherein the power consumption evaluation network includes a plurality of layers, and each of the plurality of layers is selected from a plurality of network component candidates, and
wherein in changing the power consumption evaluation network, either a layer number is changed or a different network component candidate is selected.