A generalized bridge regression in fuzzy environment and its numerical solution by a capable recurrent neural network
From MaRDI portal
Publication:2225568
DOI10.1155/2020/8838040zbMath1489.62214OpenAlexW3107354926MaRDI QIDQ2225568
Mohammadreza Rabiei, Delara Karbasi, Alireza Nazemi
Publication date: 8 February 2021
Published in: Journal of Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2020/8838040
Ridge regression; shrinkage estimators (Lasso) (62J07) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Fuzziness, and linear inference and regression (62J86) Neural nets and related approaches to inference from stochastic processes (62M45)
Uses Software
Cites Work
- The Adaptive Lasso and Its Oracle Properties
- A dynamic system model for solving convex nonlinear optimization problems
- Robust fuzzy regression analysis
- Fuzzy polynomial regression with fuzzy neural networks
- Mathematical programming approach to formulate intuitionistic fuzzy regression model based on least absolute deviations
- Fuzzy ridge regression with fuzzy input and output
- Quantile fuzzy regression based on fuzzy outputs and fuzzy parameters
- Solving fuzzy regression equation and its approximation for random fuzzy variable and their application
- A new hybrid artificial neural networks and fuzzy regression model for time series forecasting
- Numerical solution of fuzzy polynomials by fuzzy neural network
- Evaluation of fuzzy regression models by fuzzy neural network
- Least squares estimation of a linear regression model with LR fuzzy response
- Fuzzy clusterwise linear regression analysis with symmetrical fuzzy output variable
- An enhanced fuzzy linear regression model with more flexible spreads
- Theory of multiobjective optimization
- Equivalent differentiable optimization problems and descent methods for asymmetric variational inequality problems
- Neural net solutions to fuzzy problems: The quadratic equation
- A fuzzy seasonal ARIMA model for forecasting
- Fuzzy linear regression models with least square errors
- Asymptotics for Lasso-type estimators.
- A parametric recurrent neural network scheme for solving a class of fuzzy regression models with some real-world applications
- A neural network based on the generalized Fischer-Burmeister function for nonlinear complementarity problems
- Bridge regression: adaptivity and group selection
- Fuzzy nonlinear regression analysis using a random weight network
- Bayesian bridge-randomized penalized quantile regression
- Fuzzy Lasso regression model with exact explanatory variables and fuzzy responses
- On the adaptive elastic net with a diverging number of parameters
- Asymptotic properties of bridge estimators in sparse high-dimensional regression models
- Numerical solution of a system of fuzzy polynomials by fuzzy neural network
- Shrinkage ridge regression in partial linear models
- ROBUST FUZZY REGRESSION ANALYSIS USING NEURAL NETWORKS
- The Bayesian Lasso
- Building Multiple Regression Models Interactively
- Linear Regression Analysis with Fuzzy Model
- Fuzzy neural network with fuzzy signals and weights
- On the Generalization Performance of a Regression Model with Imprecise Elements
- Sparsity and Smoothness Via the Fused Lasso
- FUZZY LINEAR REGRESSION ANALYSIS FROM THE POINT OF VIEW RISK
- A Statistical View of Some Chemometrics Regression Tools
- Bayesian bridge regression
- L 1/2 regularization
- The Bayesian Bridge
- General fuzzy regression using least squares method
- FUZZY ROBUST REGRESSION ANALYSIS BASED ON THE RANKING OF FUZZY SETS
- Fuzzy sets
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- All of Nonparametric Statistics
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: A generalized bridge regression in fuzzy environment and its numerical solution by a capable recurrent neural network