EVA PORTILLO PEREZ-rekin lankidetzan egindako argitalpenak (10)

2021

  1. Compresión de datos de tipo real basada en un novedoso algoritmo de codificación para redes neuronales de impulsos

    XLII Jornadas de Automática: libro de actas, Castellón, 1 a 3 de septiembre de 2021

2020

  1. Pulsewidth Modulation-Based Algorithm for Spike Phase Encoding and Decoding of Time-Dependent Analog Data

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 31, Núm. 10, pp. 3920-3931

2018

  1. Estimation of lactate threshold with machine learning techniques in recreational runners

    Applied Soft Computing Journal, Vol. 63, pp. 181-196

  2. High-accuracy wire electrical discharge machining using artificial neural networks and optimization techniques

    Robotics and Computer-Integrated Manufacturing, Vol. 49, pp. 24-38

2017

  1. Downsizing training data with weighted FCM for predicting the evolution of specific grinding energy with RNNs

    Applied Soft Computing Journal, Vol. 61, pp. 211-221

  2. Recurrent ANN-based modelling of the dynamic evolution of the surface roughness in grinding

    Neural Computing and Applications, Vol. 28, Núm. 6, pp. 1293-1307

2016

  1. A new approach for dynamic modelling of energy consumption in the grinding process using recurrent neural networks

    Neural Computing and Applications, Vol. 27, Núm. 6, pp. 1577-1592

2015

  1. Modelado de la energía específica de corte en el rectificado mediante redes neuronales recurrentes

    XXXVI Jornadas de Automática: Libro de Actas, 2-4 de Septiembre de 2015, Bilbao

  2. On-line surface roughness prediction in grinding using recurrent neural networks

    Communications in Computer and Information Science

2014

  1. Virtual sensors for on-line wheel wear and part roughness measurement in the grinding process

    Sensors (Switzerland), Vol. 14, Núm. 5, pp. 8756-8778