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To avoid the saturation of neural networks, the input and output data were scaled to [− 1, 1].
C data were scaled up to the individual mound, unit area, and vineyard totals (Mg ha−1).
Data were scaled to the entire groundplot discounting for the area without mineral soil (i.e. exposed bedrock).
These data were scaled with a worldwide hydrology model in the Global Land Data Assimilation System (Rodell et al. 2004).
Single leaf gas exchange data were scaled up to the canopy level using a simple radiative model that considers direct beam and diffuse PAR penetration into the canopy.
The sorptivity-based scaling factor αS and the transmissivity-based scaling factor αA were computed and the observed infiltration data were scaled.
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Data are scaled from 0 to 3 SUV.
The resulting simulated projection data are scaled to the normalized measured projection data.
Sometimes if noise was shown to be heteroscedastic, data was scaled to overcome this limitation.
First, the data are scaled using the local scaling procedure of Matthews and Czerwinski.
When the data is scaled up to an adult hemodialyzer, 62 78 mL CO2/min was removed without changing blood pH.
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CEO of Professional Science Editing for Scientists @ prosciediting.com