Localized model to segmentally estimate miles per gallon (MPG) for equipment engines
In this paper, we built a localized regression model to estimate the miles per gallon (MPG) characteristic for equipment engines based on a serious physical features of this engine. First, we statistically viewed these parameters to build up a basic understanding of the data we collected. Then, with the belief that engines with similar characteristics will perform similarly, we proposed a novel localized model with a novel optimal function based EM algorithm and a novel self-adjusted optimal...[Show more]
|Collections||ANU Research Publications|
|Source:||Applied Mechanics and Materials|
|01_Luo_Localized_model_to_segmentally_2014.pdf||469.65 kB||Adobe PDF||Request a copy|
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