Sentence examples for functions adaptively from inspiring English sources

Variational Mode Decomposition (VMD), which can decompose the non-stationary signal into couple Intrinsic Mode Functions adaptively and non-recursively, brings a feasible tool.

In order to alleviate the chattering phenomenon and enhance the control effect, the fuzzy logic adaptive algorithm is used to adjust the switching control gain for softening the signum function adaptively.

This means that new cultural constructions are required that interface with our genetically evolved psychology for human society to function adaptively at a large scale.

Specific neural circuits, including the networks that activate courtship behavior, need to function adaptively according to the changing state of the environment or the changing state of the organism.

Thus, fluorescence appears to be distributed haphazardly across the tree of life, but has the potential to function adaptively in at least some organisms.

This psychology fails to function adaptively in modern contexts because novel factors, such as the establishment of skill-based wage economies, offer radically extended scope for status competition between individuals at levels which now fail to translate into significant survival or reproductive benefits (Kaplan 1996; Kaplan et al. 2002).

Recently, online approaches have been introduced, where multiscale basis functions are adaptively constructed in some regions to reduce the error significantly.

The number of basis functions is adaptively determined by minimizing the number of nonzero components in the coefficient vector during the sparse regularization process.

Empirical mode decomposition (EMD) is designed to decompose non-stationary, nonlinear data into a series of intrinsic mode functions (IMFs) adaptively.

In a neuro-fuzzy system, NNs automatically extract fuzzy rules from the numerical data and, through the training process, the parameters of the membership functions are adaptively attuned.

We propose our method using two deep models: expert and gating networks with independent loss functions and adaptively weighted outputs of every sample.  .