Multi-functional liquid crystal devices based on random binary matrix algorithm حسب Tibin Zeng (10890697)

"…<p>Multi-functional diffraction gratings have found broad applications in laser processing, medicine, beam manipulation, etc. …"

A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. حسب Boluwatife Ikwunne (22238697)

Curves of sigmoid functions used in our proposed algorithm. حسب Binh Thanh Dang (12368831)

"…<p>Curves of sigmoid functions used in our proposed algorithm.</p>…"

MSEs for the adaptive filtering algorithms by using hyperbolic functions. حسب Sihai Guan (11547518)

MSEs for the adaptive filtering algorithms by using hyperbolic functions. حسب Sihai Guan (11547518)

MSEs for the adaptive filtering algorithms by using hyperbolic functions. حسب Sihai Guan (11547518)

MSEs for the adaptive filtering algorithms by using hyperbolic functions. حسب Sihai Guan (11547518)

Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23. حسب Ying Li (38224)

"…<p>Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23.…"

Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13. حسب Ying Li (38224)

"…<p>Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13.…"

Results of the PSO-Kmeans-ANMS algorithm for the Rastrigin function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

Results of the PSO-Kmeans-ANMS algorithm for the Rosenbrock function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. حسب Tehnan I. A. Mohamed (16846175)

"…<p>Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.…"

The parameters of algorithms. حسب Le Huu Binh (18340233)

الموضوعات:

Algorithm implemented using SQL with fulltext search feature. حسب Kathleen M. Akgün (3697702)

Critical values of membership functions learned from the study cohort by the algorithm. حسب Yufeng Zhang (195768)

Eight commonly used benchmark functions. حسب Guangwei Liu (181992)

"…Secondly, the nonlinear convergence factor is constructed to replace the original random factor <i>c</i>₁ to coordinate the algorithm’s local exploitation and global exploration performance, which effectively improves the ability of the algorithm to escape extreme values and fast convergence. …"

Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms. حسب Yao Peng (1928524)

"…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…"

Convergence of the numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm. حسب Martin Dodek (20623832)

الموضوعات:

Distribution of DLCO in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. حسب Yuh-Chin T. Huang (17867207)

الموضوعات:

Search Algorithms and Loss Functions for Bayesian Clustering حسب David B. Dahl (11761055)

"…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …"