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

/feed-for·ward/ (fēd-for´ward) 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.

feedforward

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.
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References in periodicals archive ?
The first step define feed-forward network using back-propagation.
Feed-forward neural networks have several features which make them better tools for nonlinear empirical modeling.
Superfast has now been adopted for high-volume, 3D distortion control and lithography feed-forward applications, said Arthur W.
Feed-forward neural networks have the universal approximation capability, which makes them particularly suitable for most function approximation tasks we come across in materials science and process engineering.
In the past, only the authors of this paper have looked into large-scale feed-forward ATS portfolio construction (Raudys, S.
The feed-forward control quality significantly depends on the accuracy of model parameters estimation of a machine tool feed drive system.
In addition, by using voltage-mode PWM leading-edge modulation with non-linear control and input voltage feed-forward compensation, the ISL8115 maintains a constant loop gain for optimal fast transient response.
The proteins have a reciprocal relationship - they increase each other's production and stability in the cells - so the result is a snowball effect that Robison calls a feed-forward loop.
The BP (Back Propagation) network brought forward in 1986 by the science team headed by Rumelhart and McCelland, is a multi-layer feed-forward network trained by error back propagation algorithm and currently one of the most widely used neural network models.
The control strategy, that is currently used, consists of a feed-forward control to compensate predictable periodic disturbances and a subsequent feedback control.