Add to ORKGLeast squares solutions are a very important problem, which appear in a broad range of disciplines (for instance, control systems, statistics, signal processing). Our interest in this kind of problems lies in their use of training neural network controllers
It seems to be an everlasting discussion. Spending a lot of additional time and extra money to imple...
In this work we present two parallel algorithms for the solution of a given least squares problem wi...
In this paper we study the parallel aspects of PCGLS, a basic iterative method whose main idea is to...
Least squares solutions are a very important problem, which appear in a broad range of disciplines (...
An algorithm based on the Marquardt-Levenberg least-square optimization method has been shown by S. ...
In this paper the parallelization of a new learning algorithm for multilayer perceptrons, specifical...
In this work we present two parallel algorithms for the solution of a given least squares problem wi...
In this paper we describe an on-line method of training neural networks which is based on solving th...
Recently a number of publications have proposed alternative methods to apply in least mean square (L...
In this work we present a parallel neural network controller training code, that uses MPI, a portabl...
Abstract. The least mean squares (LMS) method for linear least squares problems differs from the ste...
In this work we present a parallel algorithm for the so-lution of a least squares problem with struc...
A new training algorithm is presented as a faster alternative to the backpropagation method. The new...
The authors present in this paper the implementation and some timing results for a Data Parallel Ver...
This report is a complement to the working document [1], where a sparse associative network is descr...
It seems to be an everlasting discussion. Spending a lot of additional time and extra money to imple...
In this work we present two parallel algorithms for the solution of a given least squares problem wi...
In this paper we study the parallel aspects of PCGLS, a basic iterative method whose main idea is to...
Least squares solutions are a very important problem, which appear in a broad range of disciplines (...
An algorithm based on the Marquardt-Levenberg least-square optimization method has been shown by S. ...
In this paper the parallelization of a new learning algorithm for multilayer perceptrons, specifical...
In this work we present two parallel algorithms for the solution of a given least squares problem wi...
In this paper we describe an on-line method of training neural networks which is based on solving th...
Recently a number of publications have proposed alternative methods to apply in least mean square (L...
In this work we present a parallel neural network controller training code, that uses MPI, a portabl...
Abstract. The least mean squares (LMS) method for linear least squares problems differs from the ste...
In this work we present a parallel algorithm for the so-lution of a least squares problem with struc...
A new training algorithm is presented as a faster alternative to the backpropagation method. The new...
The authors present in this paper the implementation and some timing results for a Data Parallel Ver...
This report is a complement to the working document [1], where a sparse associative network is descr...
It seems to be an everlasting discussion. Spending a lot of additional time and extra money to imple...
In this work we present two parallel algorithms for the solution of a given least squares problem wi...
In this paper we study the parallel aspects of PCGLS, a basic iterative method whose main idea is to...