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The model has five quality variables in the waterbody and two in the sediment.
The model has five parameters: two terminal bubble velocities, bubble drift coefficient, Zuber Findlay constant, and intermittency factor.
The single diode equivalent circuit model has five variable parameters: photocurrent, dark current, ideality, and series and shunt resistance.
The neural network model has five input nodes representing the concrete compressive strength (f′c), beam width (b), effective depth (d), shear span to depth ratio (a/d), longitudinal steel ratio, five hidden layer nodes and one output node representing the ultimate shear strength (vu=Vu/bd).
The key structure of this model has five phases: Discovery, Experimentation, Evangelization, Formalization and Realization.
The final source model has five SMGAs with different sizes, using a trial and error approach.
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An LPC model has two elements.
This compensation model has three benefits.
The model has six parameters.
The model has two components.
This model has four parts.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com