The phrase "repetitive learning" is grammatically correct and can be used in written English.
It refers to the process of repeatedly studying or practicing a skill or concept in order to learn and retain it. Example: The teacher incorporated repetitive learning techniques in her lesson plans to help students memorize multiplication tables more efficiently.
It is shown that the output of the controlled system could converge to the desired trajectory asymptotically through repetitive learning.
Again, the repetitive learning character of accounting and the dominance of low-level learning tasks (Haselgruber 2015) might not accord with this claim.
Furthermore, in yet another series of tests, they demonstrated that humanized mice that had already been trained in step-by-step learning were more readily able to switch to repetitive learning.
Considering the periodic property of sea waves, this paper proposes an adaptive repetitive learning control strategy containing a learning law to deal with the aforementioned practical problems, as well as an adaptive law to handle the unknown system parameters.
In this paper repetitive learning control technique has been applied to the position/flux tracking control of an Induction Motor (IM) under hypothesis of periodic reference trajectory and uncertainties on the mechanical model.
Their word learning difficulty was only evidently shown in the short-term repetitive learning task under a production demand, and their learning speed was slower than the control group.
That's the premise behind Lingt, a new startup that's looking to leverage gameplay elements to help with the mother of all repetitive tasks: learning a new language.
The repetitive control learning algorithm is designed in frequency domain instead of commonly used time domain and provides the flexibility of choosing different learning gains and phase delay compensations individually for each harmonic component.
These mice also show alterations in motor learning, vocalization, social behavior, repetitive behaviors, learning and memory.
Vertically integrated, function-specific robots that can perceive their environments are able to handle repetitive tasks, learn to do new ones, be available at all hours and be serviced and upgraded easily.
The Pritchard axiom — that repetitive cheating undermines learning — has ominous implications for a world in which even junior high school students cut and paste from the Internet instead of producing their own writing.
