The chapter contains the dexcription of a set of fast (second-order) training algorithm
In this dissertation the problem of the training of feedforward artificial neural networks and its a...
A new training algorithm is presented as a faster alternative to the backpropagation method. The new...
In this work, two modifications on Levenberg-Marquardt algorithm for feedforward neural networks are...
In this paper a review of fast-learning algorithms for multilayer neural networks is presented. From...
This research was partially supported by the Italian MURST. A new second order algorithm based on Sc...
The presentation deals with a class of fast algoritms for training feedforward and recurrent neural ...
A new optimized algorithm for the learning process suitable for hardware implemented Winner Takes Mo...
A new optimized algorithm for the learning process suitable for hardware implemented Winner Takes Mo...
This paper proposes an improved stochastic second order learning algorithm for supervised neural net...
The learning of neural networks is becoming more and more important. Researchers have constructed do...
A robust training algorithm for a class of single-hidden layer feedforward neural networks (SLFNs) w...
ABSTRACT A new fast training algorithm for the Multilayer Perceptron (MLP) is proposed. This new alg...
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforwa...
The training of multilayer perceptron is generally a difficult task. Excessive training times and la...
Nonlinear techniques for signal processing and recognition have the promise of achieving systems whi...
In this dissertation the problem of the training of feedforward artificial neural networks and its a...
A new training algorithm is presented as a faster alternative to the backpropagation method. The new...
In this work, two modifications on Levenberg-Marquardt algorithm for feedforward neural networks are...
In this paper a review of fast-learning algorithms for multilayer neural networks is presented. From...
This research was partially supported by the Italian MURST. A new second order algorithm based on Sc...
The presentation deals with a class of fast algoritms for training feedforward and recurrent neural ...
A new optimized algorithm for the learning process suitable for hardware implemented Winner Takes Mo...
A new optimized algorithm for the learning process suitable for hardware implemented Winner Takes Mo...
This paper proposes an improved stochastic second order learning algorithm for supervised neural net...
The learning of neural networks is becoming more and more important. Researchers have constructed do...
A robust training algorithm for a class of single-hidden layer feedforward neural networks (SLFNs) w...
ABSTRACT A new fast training algorithm for the Multilayer Perceptron (MLP) is proposed. This new alg...
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforwa...
The training of multilayer perceptron is generally a difficult task. Excessive training times and la...
Nonlinear techniques for signal processing and recognition have the promise of achieving systems whi...
In this dissertation the problem of the training of feedforward artificial neural networks and its a...
A new training algorithm is presented as a faster alternative to the backpropagation method. The new...
In this work, two modifications on Levenberg-Marquardt algorithm for feedforward neural networks are...