Related references
Note: Only part of the references are listed.An improved adaptive bivariate dimension-reduction method for efficient statistical moment and reliability evaluations
Chen Ding et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
An adaptive trivariate dimension-reduction method for statistical moments assessment and reliability analysis
Jun Xu et al.
APPLIED MATHEMATICAL MODELLING (2020)
Adaptive Bayesian quadrature based statistical moments estimation for structural reliability analysis
Tong Zhou et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
Periodic version of the minimax distance criterion for Monte Carlo integration
Jan Elias et al.
ADVANCES IN ENGINEERING SOFTWARE (2020)
Using Neural Networks for Fast Numerical Integration and Optimization
Steffan Lloyd et al.
IEEE ACCESS (2020)
Dual Neural Network Method for Solving Multiple Definite Integrals
Haibin Li et al.
NEURAL COMPUTATION (2019)
Structural reliability calculation method based on the dual neural network and direct integration method
Haibin Li et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Stochastic Configuration Networks: Fundamentals and Algorithms
Dianhui Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2017)
Approximation with random bases: Pro et Contra
Alexander N. Gorban et al.
INFORMATION SCIENCES (2016)
A new adaptive response surface method for reliability analysis
N. Roussouly et al.
PROBABILISTIC ENGINEERING MECHANICS (2013)
High-dimensional integration: The quasi-Monte Carlo way
Josef Dick et al.
ACTA NUMERICA (2013)
Doubly weighted moving least squares and its application to structural reliability analysis
Jian Li et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2012)
AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
B. Echard et al.
STRUCTURAL SAFETY (2011)
Improved Computation for Levenberg-Marquardt Training
Bogdan M. Wilamowski et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2010)
An efficient response surface method using moving least squares approximation for structural reliability analysis
Soo-Chang Kang et al.
PROBABILISTIC ENGINEERING MECHANICS (2010)
Global stability analysis of a general class of discontinuous neural networks with linear growth activation functions
Huaiqin Wu
INFORMATION SCIENCES (2009)
Numerical integration based on a neural network algorithm
Zeng Zhe-Zhao et al.
COMPUTING IN SCIENCE & ENGINEERING (2006)
Computation of an infinite integral using Romberg's method
F Jézéquel et al.
NUMERICAL ALGORITHMS (2004)
A generalized dimension-reduction method for multidimensional integration in stochastic mechanics
H Xu et al.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2004)
A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics
S Rahman et al.
PROBABILISTIC ENGINEERING MECHANICS (2004)