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Figure 13 Auto-focus searching algorithm with the varying environment.
In particular, periodically varying environment and almost periodically varying environment are foundations for the theory of nature selection.
Fink [10] and He [11] pointed out that periodically varying environment and almost periodically varying environment are foundations for the theory of nature selection.
These systems are highly nonlinear and they often operate in a varying environment.
This special architecture achieves better control performance, better interference rejection and_ increasing the adaptability to varying environment.
On the other hand, as mentioned above, the coefficients and delays are usually periodically time-varying in the population and ecology models with a periodically varying environment.
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This model can well describe many practical architectures of delayed neural networks, which is generalization of some additive delayed neural networks such as delayed Hopfied neural networks and delayed cellular neural networks, under a time-varying environment, particularly when the network parameters and input stimuli are varied periodically with time.
In a fast time-varying environment L cannot be large.
It can be applied in time-varying environment as well.
Adaptivity is important for waveform design in OTH radar due to the time-varying environment.
In this paper, a method for nonparametric regression estimation in a time-varying environment is presented.
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