Variable projections neural network training
From MaRDI portal
Publication:853247
DOI10.1016/j.matcom.2006.06.017zbMath1104.65060OpenAlexW1982784722MaRDI QIDQ853247
Publication date: 15 November 2006
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2006.06.017
Related Items
Numerical approximation of partial differential equations by a variable projection method with artificial neural networks ⋮ A method for computing inverse parametric PDE problems with random-weight neural networks ⋮ Diffusion learning algorithms for feedforward neural networks ⋮ Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection ⋮ Comparative study of ANN DTC and conventional DTC controlled PMSM motor ⋮ Learning algorithms for neural networks and neuro-fuzzy systems with separable structures ⋮ Fast computation of equispaced Pareto manifolds and Pareto fronts for multiobjective optimization problems ⋮ Aircraft design optimization
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Large scale least squares scattered data fitting
- Software for estimating sparse Jacobian matrices
- Algorithms for Separable Nonlinear Least Squares Problems
- A variable projection method for solving separable nonlinear least squares problems
- A Method for Separable Nonlinear Least Squares Problems with Separable Nonlinear Equality Constraints
- Regularization tools for training large feed-forward neural networks using automatic differentiation∗
- Separable nonlinear least squares: the variable projection method and its applications
- Ill-Conditioning in Neural Network Training Problems
- The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate
- A method for the solution of certain non-linear problems in least squares
- Approximation by superpositions of a sigmoidal function
