Listar Artículos (Ciencias de la Computación e Inteligencia Artificial) por autor 

Listar Artículos (Ciencias de la Computación e Inteligencia Artificial) por autor "Paluzo Hidalgo, Eduardo"  

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      Representative datasets for neural networks 

      González Díaz, Rocío; Paluzo Hidalgo, Eduardo; Gutiérrez Naranjo, Miguel Ángel (Elsevier, 2018)
      Neural networks present big popularity and success in many fields. The large training time process problem is a very ...
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      Representative Datasets: The Perceptron Case 

      González Díaz, Rocío; Gutiérrez Naranjo, Miguel Ángel; Paluzo Hidalgo, Eduardo (Cornell University, 2019)
      One of the main drawbacks of the practical use of neural networks is the long time needed in the training process. Such ...
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      Trainable and explainable simplicial map neural networks 

      Paluzo Hidalgo, Eduardo; González Díaz, Rocío; Gutiérrez Naranjo, Miguel Ángel (ELSEVIER SCIENCE INC, 2024)
      Simplicial map neural networks (SMNNs) are topology-based neural networks with interesting properties such as universal ...
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      Two-hidden-layer Feedforward Neural Networks are Universal Approximators: A Constructive Approach 

      González Díaz, Rocío; Gutiérrez Naranjo, Miguel Ángel; Paluzo Hidalgo, Eduardo (Cornell University, 2019)
      It is well known that Artificial Neural Networks are universal approximators. The classical result proves that, given a ...