Auto-adaptive multilayer perceptron for univariate time series classification
Authors:
- Felipe Arias del CampoFCFelipe Arias del Campo
- María Cristina Guevara NeriMNMaría Cristina Guevara Neri
- Osslan Osiris Vergara VillegasOVOsslan Osiris Vergara Villegas
- Vianey Guadalupe Cruz SánchezVSVianey Guadalupe Cruz Sánchez
- Humberto de Jesús Ochoa DomínguezHDHumberto de Jesús Ochoa Domínguez
- Vicente García JiménezVicente García Jiménez
- 1 November 2021
- journal article
- research article
- Published by Elsevier in Expert Systems with Applications
- Vol. 181
Abstract
No abstract availableKeywords
This publication has 54 references indexed in Scilit:
- Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysisMedical & Biological Engineering & Computing, 2017
- The great time series classification bake off: a review and experimental evaluation of recent algorithmic advancesData Mining and Knowledge Discovery, 2016
- Design of experiments and focused grid search for neural network parameter optimizationNeurocomputing, 2016
- Time series analysis for psychological research: examining and forecasting changeFrontiers in Psychology, 2015
- Deep learningNature, 2015
- Time-Series Classification with COTE: The Collective of Transformation-Based EnsemblesIEEE Transactions on Knowledge and Data Engineering, 2015
- The BOSS is concerned with time series classification in the presence of noiseData Mining and Knowledge Discovery, 2014
- A time series forest for classification and feature extractionInformation Sciences, 2013
- Support Vector Machines (SVMs) versus Multilayer Perception (MLP) in data classificationEgyptian Informatics Journal, 2012
- Process mining: a two-step approach to balance between underfitting and overfittingSoftware and Systems Modeling, 2008