feedforward


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feedforward

 [fēd-for´werd]
the anticipatory effect that one intermediate in a metabolic or endocrine control system exerts on another intermediate further along in the pathway; such effect may be positive or negative.

feedforward

(fēd″for′wĭrd)
Anticipatory motor impulses sent before movement to prepare the musculoskeletal system for postural adjustments. The feedforward mechanism is thought to help prepare muscles to perform required tasks.
References in periodicals archive ?
By type, it is segmented into feedback artificial neural network, feedforward artificial neural network, and others.
Then on the follow-up, especially important here is what I call a feedforward, where they ask for ideas which is much more positive.'
An in-cylinder pressure feedforward controller was designed firstly.
ANN type Training Forecasting Errors Errors Feedforward backpropagation 1.1493 0.7732 Cascade feedforward backpropagation 0.1689 0.2769 Layer recurrent 0.5380 0.6877 Elman backpropagation 0.5608 0.8863 iPSO-ANN 0.1307 0.1139 PSO-ANN 0.2285 0.3998 DEA-ANN 0.1653 0.2373 GA-ANN 0.2217 0.3154 TABLE III.
What needs to be specially mentioned is that, considering the phase delay in the sampling, grid voltage feedforward sampling value [U.sub.st] is obtained by multiplying the fundamental RMS of [U.sub.s] with cos [theta].
In the experiment, we choose feedforward backpropagation neural network and cascaded feedforward backpropagation neural network, in which the hidden layer and output layer of the feedforward BP neural network are only affected by the previous layer.
With each model change, the controller must be recalibrated and redeployed, which may involve adjustments to both the feedforward and feedback portions of the controller.
In order to approximate f* we applied a deep feedforward network with six hidden layers to our problem domain using the TensorFlow framework [12].
Wiener models are also used, for example as a robust nonlinear internal model control of stable Wiener systems [20], or block-oriented feedforward control with demonstration to Wiener modelling [25], or modelling of memristor-based chaotic systems using nonlinear Wiener adaptive filters [24].
The feature vectors are then fed to a feedforward neural network.