Processing ambiguous fault signals with three models of feedforward neural networks

Two different encoding methodologies are presented and analysed, which are used di- rectly in the context of training neural networks, but can be used in other kind of

In this kind of systems, deep neural networks are used to obtain a frame-by-frame representation of the speech signal, the so-called bottleneck feature vector, which is learned

Experimental results have demonstrated that artificial neural networks can substantially reduce the number of model parameters and surpass the performance of previous approaches

Computational Methods in Neural Modeling: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003 Maó, Menorca, Spain,. June 3–6, 2003 Proceedings,

In this work, we propose an end-to-end approach to the language identification (LID) problem based on Convolutional Deep Neural Networks (CDNNs).. The use of CDNNs is mainly motivated

We study the emerging collective dynamics of a neural network model that emits and recognizes neural signatures with different network topolo- gies in order to assess the capacity of

In this contribution, a novel learning architecture based on the interconnection of two different learning-based 12 neural networks has been used to both predict temperature and

This project is going to focus on the design, implementation and analysis of a new machine learning model based on decision trees and other models, specifically neural networks..