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Enhanced Wind Power Forecasting Using a Hybrid Multi-Strategy Coati Optimization Algorithm and Backpropagation Neural Network. [PDF]

Sensors (Basel)
Yang H, Shu Z, Li Z.
europepmc   +1 more source

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Weak and strong convergence analysis of Elman neural networks via weight decay regularization

Optimization, 2022
In this paper, we propose a novel variant of the algorithm to improve the generalization performance for Elman neural networks (ENN). Here, the weight decay term, also called regularization, which can effectively control the value of weights excessive ...
Li Zhou, Qinwei Fan, Xiaodi Huang, Yan Liu   +3 more
semanticscholar   +1 more source

Strong convergence of inertial forward–backward methods for solving monotone inclusions

Applicable Analysis, 2021
The paper presents four modifications of the inertial forward–backward splitting method for monotone inclusion problems in the framework of real Hilbert spaces.
Tang Bing, S. Cho
semanticscholar   +1 more source

Strong convergence results for quasimonotone variational inequalities

Mathematical Methods of Operations Research, 2022
T. O. Alakoya, O. Mewomo, Y. Shehu
semanticscholar   +1 more source

Strong* convergence of quantum channels

Quantum Information Processing, 2018
In [arXiv:1712.03219] the existence of a strongly (pointwise) converging sequence of quantum channels that can not be represented as a reduction of a sequence of unitary channels strongly converging to a unitary channel is shown.
M.E.Shirokov
semanticscholar   +2 more sources

Strong Convergence of Self-adaptive Inertial Algorithms for Solving Split Variational Inclusion Problems with Applications

Journal of Scientific Computing, 2021
Bing Tan, X. Qin, Jen-Chih Yao
semanticscholar   +1 more source

Strong convergence of an iterative algorithm involving nonlinear mappings of nonexpansive and accretive type

Optimization, 2018
In this paper, a new iterative method for finding the projection onto the intersection of two closed convex sets in the framework of Banach spaces is presented. It is a viscosity approximation method which produces a strongly convergent sequence.
X. Qin, S. Cho, Lin Wang
semanticscholar   +1 more source

Strong Convergence Theorems for Solving Variational Inequality Problems with Pseudo-monotone and Non-Lipschitz Operators

Journal of Optimization Theory and Applications, 2021
G. Cai, Q. Dong, Yu Peng
semanticscholar   +1 more source