Sentence examples for recurrent operator from inspiring English sources

Exact(2)

The most common is the recurrent operator for the elements of columns' vector.

As the recurrent operator is generalized, the increments can also be negative (ones) and noninteger; so, for example, for the block matrix recursion, with the selected increments, and, the operator has a more complex structure (4.9).

Similar(58)

In this section the extended recurrent operators include one more dimension as a degree of freedom, which is the radius r.

On the basis of the previous positions and results, we define two recurrent operators for defining the assigned functions (1) for the matrix (4.7)   (2) and for the block-matrix (Figure 3) (4.8)  . for the matrix (4.7).

KPIs, however, are not capturing the actual perception of customers, as evidenced by the fact that, in a recurrent way, operators see that network KPIs are very satisfying but customer service is facing an increasing number of subscriber complaints experiencing poor quality of experience.

Let X t) be a positive recurrent diffusion process corresponding to an operator L on a domain D⊆Rd with oblique reflection at ∂D if D≠Rd.

Recurrent incident reports indicate that ground operators have not always performed the right action or made the right decision following maintenance operations of transport systems.

Some recurrent relations are imposed on these extended operators.

In order to approximate the behavior of rate-dependent hysteresis which is a kind of nonsmooth dynamic nonlinearity with multi-valued mapping, a diagonal recurrent neural network (DRNN) with modified backlash operators (MBOs) is developed.

Operators can only make rough, averaged estimations, including recurrent variations over a day, and generic corrections, for example, before upcoming events with presumably higher traffic demand.

For each class of activation functions, testable algebraic criteria for ascertaining global exponential periodicity and global exponential stability of a class of recurrent neural networks are derived by using the comparison principle and the theory of monotone operator.

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