Now showing items 1-2 of 2

    • Industrial process condition forecasting methodology based on neo-fuzzy neuron and self-organizing maps 

      Zurita Millán, Daniel; Delgado Prieto, Miquel; Cariño Corrales, Jesús Adolfo; Clerc, Guy; Ortega Redondo, Juan Antonio; Razik, Hubert; Osornio Rios, Roque A. (2019-08-01)
      Article
      Open Access
      The condition forecasting of industrial processes represents a key factor to allow the future generation of industrial manufacturing plants. In this regard, this paper presents a novel soft-computing based methodology for ...
    • Industrial time series modelling by means of the neo-fuzzy neuron 

      Zurita Millán, Daniel; Delgado Prieto, Miquel; Cariño Corrales, Jesús Adolfo; Ortega Redondo, Juan Antonio; Clerc, Guy (Institute of Electrical and Electronics Engineers (IEEE), 2016-09-20)
      Article
      Open Access
      Abstract—Industrial process monitoring and modelling represents a critical step in order to achieve the paradigm of Zero Defect Manufacturing. The aim of this paper is to introduce the Neo-Fuzzy Neuron method to be applied ...