<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2227-1899</journal-id>
<journal-title><![CDATA[Revista Cubana de Ciencias Informáticas]]></journal-title>
<abbrev-journal-title><![CDATA[RCCI]]></abbrev-journal-title>
<issn>2227-1899</issn>
<publisher>
<publisher-name><![CDATA[Editorial Ediciones Futuro]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2227-18992022000400084</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Algoritmo de predicción de series de tiempo para el pronóstico del Tráfico Aéreo basado en redes neuronales artificiales.]]></article-title>
<article-title xml:lang="en"><![CDATA[Time Series Prediction Algorithm for Air Traffic Forecasting based on artificial neural networks.]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Asán Caballero]]></surname>
<given-names><![CDATA[Laritza]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rojas Delgado]]></surname>
<given-names><![CDATA[Jairo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jiménez Moya]]></surname>
<given-names><![CDATA[Gerdys E.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de las Ciencias Informáticas Facultad de Ciencias y Tecnologías Computacionales ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Centro Vasco de Matemática Aplicada  ]]></institution>
<addr-line><![CDATA[ Vizcaya]]></addr-line>
<country>España</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<volume>16</volume>
<numero>4</numero>
<fpage>84</fpage>
<lpage>100</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2227-18992022000400084&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2227-18992022000400084&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2227-18992022000400084&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Poder conocer el comportamiento futuro del flujo de tránsito aéreo se ha convertido en un elemento imprescindible para el éxito y desarrollo de esta industria, sobre todo teniendo en cuenta su crecimiento constante. La predicción de series temporales es un área muy explotada en los tiempos actuales. Aunque cada serie es diferente, es común el empleo de modelos basados en la metodología Box-Jenkins y la regresión lineal. Por otro lado, la tendencia de los últimos años se inclina al uso de las redes neuronales. Dentro de este grupo, son muchas las variantes y parámetros a emplear. No se puede asegurar que un modelo sea mejor que otro, esto depende de los resultados que tenga cada uno con los datos de la serie y los conocimientos del investigador. En este trabajo se propone el empleo de dos variantes de un algoritmo predictivo basado en redes neuronales artificiales y redes neuronales con memoria de corto y largo plazo. El objetivo es determinar cuál de estas permite obtener los mejores resultados en cuanto a precisión y tiempo de ejecución del entrenamiento. Los resultados obtenidos muestran que el entrenamiento para el modelo basado en redes neuronales artificiales es el más preciso empleando menos tiempo para el entrenamiento de la red. En este resultado es evidente que el modelo más sencillo puede ser la mejor opción para el proceso de predicción.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Being able to know the future behavior of the air traffic flow has become an essential element for the success and development of this industry, especially considering its constant growth. Time series forecasting is a highly exploited area nowadays. Although each series is different, the use of models based on the Box-Jenkins methodology and linear regression is common. On the other hand, the trend of recent years is towards the use of neural networks. Within this group, there are many variants and parameters to be used. It cannot be guaranteed that one model is better than another, this depends on the results that each one has with the data of the series and the knowledge of the researcher. In this work, the use of two variants of a predictive algorithm based on artificial neural networks and neural networks whist short and long-term memory is proposed. The objective is to determine which of these allow to obtain the best results in terms of precision and execution time of the training. The results obtained show that the training for the model based on artificial neural networks is the most accurate, using less time for network training. In this result it is evident that the simplest model may be the best option for the prediction process.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[redes neuronales artificiales]]></kwd>
<kwd lng="es"><![CDATA[predicción]]></kwd>
<kwd lng="es"><![CDATA[preprocesamiento]]></kwd>
<kwd lng="es"><![CDATA[serie de tiempo]]></kwd>
<kwd lng="es"><![CDATA[tránsito aéreo]]></kwd>
<kwd lng="en"><![CDATA[artificial neural networks]]></kwd>
<kwd lng="en"><![CDATA[prediction]]></kwd>
<kwd lng="en"><![CDATA[preprocessing]]></kwd>
<kwd lng="en"><![CDATA[time series]]></kwd>
<kwd lng="en"><![CDATA[air traffic]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Adhikari]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Agrawal Ramesh]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<source><![CDATA[An Introductory Study On Time Series Modeling And Forecasting]]></source>
<year>2013</year>
<publisher-name><![CDATA[Lap Lambert Academic Publishing]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Box]]></surname>
<given-names><![CDATA[G.E.P.]]></given-names>
</name>
<name>
<surname><![CDATA[Jenkins]]></surname>
<given-names><![CDATA[G.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Reinsel]]></surname>
<given-names><![CDATA[G.C.]]></given-names>
</name>
<name>
<surname><![CDATA[Ljung]]></surname>
<given-names><![CDATA[G.M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Time Series Analysis: Forecasting And Control. Fifth Edition]]></source>
<year>2016</year>
<publisher-loc><![CDATA[New Jersey ]]></publisher-loc>
<publisher-name><![CDATA[John Wiley &amp; Sons. Inc]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Brownlee]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Deep Learning For Time Series Forecasting: Predict The Future With Mlps, Cnns And Lstms In Python]]></source>
<year>2020</year>
<publisher-name><![CDATA[Machine Learning Mastery]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cabezón Manchado]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<source><![CDATA[Predicción Demanda Eléctrica Española. Implementación De Redes Neuronales Recurrentes En Python]]></source>
<year>2018</year>
<publisher-name><![CDATA[Universidad Complutense De Madrid]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Campos-Taberner]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[García-Haro]]></surname>
<given-names><![CDATA[F.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Martínez]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Gilabert]]></surname>
<given-names><![CDATA[M.A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[View Of Deep Learning For Agricultural Land Use Classification From Sentinel-2]]></article-title>
<source><![CDATA[Revista De Teledetección]]></source>
<year>2020</year>
<volume>56</volume>
<numero>^sEspecial</numero>
<issue>^sEspecial</issue>
<supplement>Especial</supplement>
<page-range>35-48</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Colás Herrera]]></surname>
<given-names><![CDATA[J.C]]></given-names>
</name>
</person-group>
<source><![CDATA[Aplicación De Modelos De Redes Neuronales A La Predicción De La Fiebre]]></source>
<year>2019</year>
<publisher-loc><![CDATA[Madrid ]]></publisher-loc>
<publisher-name><![CDATA[Universidad Politécnica De Madrid]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fernández Salguero]]></surname>
<given-names><![CDATA[R.A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Series Temporales Avanzadas: Aplicación De Redes Neuronales Para El Pronóstico De Series De Tiempo]]></source>
<year>2021</year>
<publisher-loc><![CDATA[Granada ]]></publisher-loc>
<publisher-name><![CDATA[Universidad De Granada]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fiszelew]]></surname>
<given-names><![CDATA[Abel]]></given-names>
</name>
<name>
<surname><![CDATA[García-Martínez]]></surname>
<given-names><![CDATA[Ramón]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generación Automática De Redes Neuronales Con Ajuste De Parámetros Basado En Algoritmos Genéticos]]></article-title>
<source><![CDATA[Revista Del Instituto Tecnológico De Buenos Aires]]></source>
<year>2002</year>
<volume>26</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>76-101</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fok]]></surname>
<given-names><![CDATA[W.W.T.]]></given-names>
</name>
<name>
<surname><![CDATA[Chan]]></surname>
<given-names><![CDATA[L.C.W.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<source><![CDATA[Artificial Intelligence For Sport Actions And Performance Analysis Using Recurrent Neural Network (Rnn) With Long Short-Term Memory (Lstm)]]></source>
<year>2018</year>
<conf-name><![CDATA[ Proceedings Of The 2018 4th International Conference On Robotics And Artificial Intelligence]]></conf-name>
<conf-loc>New York, Usa </conf-loc>
<page-range>40-4</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="">
<collab>Google Colaboratory</collab>
<source><![CDATA[]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gopalakrishnan]]></surname>
<given-names><![CDATA[Karthik]]></given-names>
</name>
<name>
<surname><![CDATA[Balakrishnan]]></surname>
<given-names><![CDATA[Hamsa]]></given-names>
</name>
</person-group>
<source><![CDATA[A Comparative Analysis Of Models For Predicting Delays In Air Traffic Networks]]></source>
<year>2017</year>
<publisher-loc><![CDATA[Washington ]]></publisher-loc>
<publisher-name><![CDATA[Air Traffic Management Research And Development Seminar. Seattle]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Graves]]></surname>
<given-names><![CDATA[Alex]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Neural Networks]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Graves]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<source><![CDATA[Supervised Sequence Labelling With Recurrent Neural Networks]]></source>
<year>2012</year>
<page-range>15-35</page-range><publisher-loc><![CDATA[Berlin, Heidelberg ]]></publisher-loc>
<publisher-name><![CDATA[Springer, Studies In Computational Intelligence]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Herrera Ramos]]></surname>
<given-names><![CDATA[M.I.]]></given-names>
</name>
</person-group>
<source><![CDATA[Análisis De Desempeño De Redes Neuronales Evolutivas Para El Pronóstico De Series De Tiempo]]></source>
<year>2019</year>
<publisher-loc><![CDATA[Medero ]]></publisher-loc>
<publisher-name><![CDATA[Tecnológico Nacional De México]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="book">
<collab>Iata</collab>
<source><![CDATA[Desafíos Y Oportunidades Para El Futuro. El Valor De La Aviación En Cuba]]></source>
<year>2019</year>
<publisher-loc><![CDATA[La Habana ]]></publisher-loc>
<publisher-name><![CDATA[Iata]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Karim]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Majumdar]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Darabi]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Harford]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Multivariate Lstm-Fcns For Time Series Classification]]></article-title>
<source><![CDATA[Neural Networks]]></source>
<year>2019</year>
<volume>116</volume>
<page-range>237-45</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Längkvist]]></surname>
<given-names><![CDATA[Martin]]></given-names>
</name>
<name>
<surname><![CDATA[Karlsson]]></surname>
<given-names><![CDATA[Lars]]></given-names>
</name>
<name>
<surname><![CDATA[Loutfi]]></surname>
<given-names><![CDATA[Amy]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Review Of Unsupervised Feature Learning And Deep Learning For Time-Series Modeling]]></article-title>
<source><![CDATA[Pattern Recognition Letters]]></source>
<year>2014</year>
<volume>42</volume>
<page-range>11-24</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Wen Liu]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Similarity Grouping-Guided Neural Network Modeling For Maritime Time Series Prediction]]></article-title>
<source><![CDATA[Ieee]]></source>
<year>2019</year>
<volume>7</volume>
<page-range>72647-58</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Monmousseau]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Delahaye]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Marzuoli]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Feron]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<source><![CDATA[Predicting And Analyzing Us Air Traffic Delays Using Passenger-Centric Data-Source]]></source>
<year>2019</year>
<conf-name><![CDATA[ 13th Usa/Europe Air Tra&#64256;ic Management Research And Development Seminar]]></conf-name>
<conf-loc>Vienne </conf-loc>
</nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Moreno Sarmiento]]></surname>
<given-names><![CDATA[Efraín]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Predicción Con Series De Tiempo Y Regresión]]></article-title>
<source><![CDATA[Panorama]]></source>
<year>2008</year>
<volume>2</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>36-58</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="book">
<collab>Oaci</collab>
<source><![CDATA[Plan Mundial De Navegación Aérea 2016-2030]]></source>
<year>2016</year>
<publisher-loc><![CDATA[Montréal ]]></publisher-loc>
<publisher-name><![CDATA[Organización De Aviación Civil Internacional]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Palma Méndez]]></surname>
<given-names><![CDATA[J.T.]]></given-names>
</name>
<name>
<surname><![CDATA[Marín Morales]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<source><![CDATA[Inteligencia Artificial. Métodos, Técnicas Y Aplicaciones]]></source>
<year>2008</year>
<publisher-loc><![CDATA[Madrid ]]></publisher-loc>
<publisher-name><![CDATA[Mc Graw-Hill]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pavlyuk]]></surname>
<given-names><![CDATA[Dmitry]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Feature Selection And Extraction In Spatiotemporal Traffic Forecasting: A Systematic Literature Review]]></article-title>
<source><![CDATA[European Transport Research Review]]></source>
<year>2019</year>
<volume>11</volume>
<numero>6</numero>
<issue>6</issue>
</nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Peiris]]></surname>
<given-names><![CDATA[H.R.I]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Seasonal Arima Model Of Tourism Forecasting: The Case Of Sri Lanka]]></article-title>
<source><![CDATA[Journal Of Tourism, Hospitality And Sports]]></source>
<year>2016</year>
<volume>22</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>98-109</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Benítez]]></surname>
<given-names><![CDATA[Rochel]]></given-names>
</name>
<name>
<surname><![CDATA[José]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<source><![CDATA[Factores Determinantes De La Demanda De Transporte Aéreo Y Modelos De Previsión]]></source>
<year>2000</year>
<page-range>41-8</page-range><publisher-name><![CDATA[Boletín Económico De Ice, Información Comercial Española]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez Rivero]]></surname>
<given-names><![CDATA[Cristian]]></given-names>
</name>
</person-group>
<source><![CDATA[Modelos No Lineales De Pronóstico De Series Temporales Basados En Inteligencia Computacional Para Soporte En La Toma De Decisiones Agrícolas]]></source>
<year>2016</year>
<publisher-name><![CDATA[Universidad Nacional De Córdoba]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rojas Delgado]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Trujillo Rasúa]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Algoritmo Meta-Heurístico Firefly Aplicado Al Pre-Entrenamiento De Redes Neuronales Artificiales]]></article-title>
<source><![CDATA[Revista Cubana De Ciencias Informáticas]]></source>
<year>2018</year>
<volume>12</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>14-27</page-range></nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rojas Delgado]]></surname>
<given-names><![CDATA[Jairo]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Selección De Rasgos En Muestras Citológicas Usando Información Heurística]]></article-title>
<source><![CDATA[Revista Cubana De Ciencias Informáticas]]></source>
<year>2016</year>
<volume>10</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>73-88</page-range></nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tealab]]></surname>
<given-names><![CDATA[Ahmed]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Time Series Forecasting Using Artificial Neural Networks Methodologies: A Systematic Review]]></article-title>
<source><![CDATA[Future Computing And Informatics Journal]]></source>
<year>2018</year>
<volume>3</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>334-40</page-range></nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Velásquez H.]]></surname>
<given-names><![CDATA[J.D.]]></given-names>
</name>
<name>
<surname><![CDATA[Fonnegra R.]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Villa G.]]></surname>
<given-names><![CDATA[F.A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Pronóstico De Series De Tiempo Con Redes Neuronales Regularizadas Y Validación Cruzada]]></article-title>
<source><![CDATA[Revista Vínculos]]></source>
<year>2013</year>
<volume>10</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>267-79</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
