Sentence examples for approximation performance from inspiring English sources

The NN is used to approximate the unknown nonlinear function due to its good approximation performance.

The KSVD algorithm is an iterative approach for improving approximation performance of sparse coding.

Using Ackley's path function, the approximation performance of WNN is first tested in comparison with BPN.

The approximation performance is measured by mean errors (e.g., integrated or maximal quadratic mean errors).

The parameter learning phase adjusts the interconnection weights of neural network to achieve favorable approximation performance.

Four candidate approximation functions were identified and their approximation performance analyzed.

This modification improves the approximation performances and lightens burdens imposed on a network designer in the design process of SORN.

An adaptive RFNN was also used to obtain the required improvement on the approximation performances in order to avoid calculating the explosive number of terms generated by the recursive steps of traditional backstepping control.

This motivates us to study adapting the sparsity of random projections according to channel conditions for improving the data-approximation performance as well as the system delay.

In this paper, we show that (a) the Steiner ratio is 14, that is, the minimum spanning tree yields a polynomial-time approximation with performance ratio exactly 4, (b) there exists a polynomial-time approximation with performance ratio 3, and (c) there exists a polynomial-time approximation scheme under certain conditions.

Results of four candidate approximation functions' performance on eight different type LEDs' are presented.