the greatest difference of the calibration curve from a straight line drawn between the no-load and the rated outputs; depicted as a percentage of the rated output; only calculated on increasing load
In neural networks, nonlinearity can take several forms/feedback into the same layer, multi-layer feedback, normalization and competition, or multi-layer feed-forward networks which use non-linear transfer functions.
The maximum deviation of the calibration curve from a straight line drawn between the no-load and rated outputs; expressed as a percentage of the rated output and measured on increasing load only.
What goes into a system comes out changed by its passage through that system-in other words, distorted. The ideal of an audio component and an audio system is to be linear, or nondistorting, with the image on one side of the mirror identical to the image on the other side.
The amount by which a measured video signal output differs from a standard video signal output. The greater this deviation, the greater the video signal distortion and possibility of luminance and chrominance problems.
The deviation from linearity in an electronic circuit, an electro-optic device or a fiber that generates undesired components in a signal. Examples of fiber nonlinearities include SBS, SRS, FWM, SPM, XPM, and Intermodulation.