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By 2014, it estimates, the monthly data flow will increase about sixteenfold, to 3.6 billion gigabytes from 220.1 million.
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The PBIAS values − 4.6 and 3.8 are within PBIAS < |25%|, can be said to describe a satisfactory model performance for monthly data of the stream flow (Dourte 2011; Moriasi et al. 2007).
In this study, MLP ANN and MLP FFA models were employed for modeling river flow using monthly data.
We use the Fallick and Fleischman monthly data on job-to-job flows, as well as the hires and separations rates that result by adding the gross flows data on transitions into and out of employment.
We have monthly data covering the time period June 2009 to June 2012.
To test this hypothesis chain, we mapped thermokarst lake changes using remote sensing analysis and analyzed both climate (temperature and precipitation) and water flow and balance changes using available monthly data records.
In this study, two models of ANN and ANFIS are used for predicting the flow of the Gamasyab River using daily and monthly data of the Verayneh Station.
The Zhuoshui River basin in Taiwan was the study case, and its monthly data sets collected from 203 groundwater stations, 32 rainfall stations and 6 flow stations during 2000 and 2013 were used for modelling purpose.
A monthly data collection pattern was considered adequate to ensure that any seasonal variations in organization, patient flow, etc. would be taken into account.
And monthly data from the U.S. Treasury show that there was actually a repatriation of portfolio flows of $21 billion in July.
The monthly data are not seasonally adjusted.
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