Energy Consumption Modeling Algorithm for Structural Level Oriented Embedded Software

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Provided by: AICIT
Topic: Hardware
Format: PDF
In this paper, the authors examine a new measure of energy consumption modeling algorithm in structural level based on fuzzy mathematics and BP neural network, which overcomes the difficulties found in other specific nonlinear functional measures: poor fitting action, low computing rate and efficiency. Based on the model as the foundation, the paper first purposed the potential nonlinear relation and provided a multistage model using BP and EPRES model based on Petri network algorithm. The paper also provided the structure definition, pictorial representation and the behavior rule of the synthetic modeling algorithm.
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