نتایج جستجو برای: empirical hybrid model
تعداد نتایج: 2397988 فیلتر نتایج به سال:
Accurate day-ahead peak load forecasting is crucial not only for power dispatching but also has a great interest to investors and energy policy maker as well government. Literature reveals that 1% error drop of forecast can reduce 10 million pounds operational cost. Thus, this study proposed novel hybrid predictive model built upon multivariate empirical mode decomposition (MEMD) support vector...
this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...
In this study, a hybrid approach based on seasonal decomposition (SD) and least squares support vector regression (LSSVR) model is proposed for air passenger forecasting. In the formulation of the proposed hybrid approach, the air passenger time series are first decomposed into three components: trend-cycle component, seasonal factor and irregular component. Then the LSSVR model is used to pred...
The widespread application of the hybrid empirical method (HEM) has made it a viable approach for developing ground motion prediction equations in regions where there are few strong motion recordings but there are ample weak motion data from small-magnitude earthquakes. The HEM uses empirical estimates of ground motion in one region (the host region) to provide estimates of ground motion in ano...
Despite the empirical evidence of the difference in the degree of price stickiness of goods and services, in the new standard Keynesian models, the same price stickiness is considered for all firms producing intermediate goods. In recent years, a new generation of pricing models has been introduced to simulate the heterogeneous price setting behavior in which, unlike standard pricing models, th...
Recurrent Neural Networks have achieved state-of-the-art results for many problems in NLP and two most popular RNN architectures are “Tail Model” and “Pooling Model”. In this paper, a hybrid architecture is proposed and we present the first empirical study using LSTMs to compare performance of the three RNN structures on sentence classification task. Experimental results show that the “Max Pool...
S U M M A R Y We demonstrate a method for the empirical construction of 2-D surface wave phase traveltime finite frequency sensitivity kernels by using phase traveltime measurements obtained across a large dense seismic array. The method exploits the virtual source and reciprocity properties of the ambient noise cross-correlation method. The adjoint method is used to construct the sensitivity k...
although several papers have studied no-idle scheduling problems, they all focus on flow shops, assuming one processor at each working stage. but, companies commonly extend to hybrid flow shops by duplicating machines in parallel in stages. this paper considers the problem of scheduling no-idle hybrid flow shops. a mixed integer linear programming model is first developed to mathematically form...
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