This study describes the application of the feedback linearization neural networks, known from neural network computing, to the problem of gradient preemphasis.
The result shows that CJD alternating current electrodynamometer has simple structure and the energy feedback efficiency can reach 74%, with outstanding energy-saving effect, good control stability.
Taken together, these results suggest that FFC and the exosome are part of a posttranscriptional negative feedback loop that regulates frq transcript levels and the circadian output pathway.