Publicaciones en las que colabora con Francisco Javier Martínez de Pisón Ascacíbar (19)

2012

  1. Comparative analysis of learning and meta-learning algorithms for creating models for predicting the probable alcohol level during the ripening of grape berries

    Computers and Electronics in Agriculture, Vol. 80, Núm. 2, pp. 54-62

  2. Modelling a skin-pass rolling process by means of data mining techniques and finite element method

    Journal of Iron and Steel Research International, Vol. 19, Núm. 5, pp. 43-49

2011

  1. Advances in Intelligent and Soft Computing

    Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 (SPRINGER-VERLAG), pp. 233-241

  2. Application of wrapper methods for feature selection in modelling ripening process of a viticulture crop

    10th WSEAS International Conference on Applied Computer and Applied Computational Science, ACACOS'11, pp. 142-147

  3. Dimensionality reduction in a database related with viticulture crops using wrapper techniques

    International Journal of Mathematical Models and Methods in Applied Sciences, Vol. 5, Núm. 5, pp. 866-873

  4. Diseño de un sistema informático de Sugerencias, Quejas, Reclamaciones y Felicitaciones (SQRF) en el marco de la mejora continua de las enseñanzas superiores

    XIX Congreso Universitario de Innovación Educativa en las enseñanzas Técnicas: libro de Resúmenes

  5. Improving Steel Industrial Processes Using Genetic Algorithms and Finite Element Method

    Advances in Intelligent and Soft Computing, 87 (SPRINGER-VERLAG), pp. 233-241

  6. Improving scheduling methodologies in a hot-dip galvanizing line combining non-linear projectors and clustering

    International Journal of Mathematical Models and Methods in Applied Sciences, Vol. 5, Núm. 5, pp. 890-898

  7. Optimising tension levelling process by means of genetic algorithms and finite element method

    Ironmaking and Steelmaking, Vol. 38, Núm. 1, pp. 45-52

  8. Predictive modelling in grape berry weight during maturation process: comparison of data mining, statistical and artificial intelligence techniques

    Spanish journal of agricultural research, Vol. 9, Núm. 4, pp. 1156-1167

  9. Predictive models for bolted T-stub connections combining FEM with Intelligent Artificial techniques

    Computational Plasticity XI - Fundamentals and Applications, COMPLAS XI, pp. 1467-1478

  10. Using genetic algorithms to optimize the material behaviour model in finite element models of processes with cyclic loads

    Journal of Strain Analysis for Engineering Design, Vol. 46, Núm. 2, pp. 143-159

  11. Using multi-dimensional scaling and hierarchical clustering to improve the process in a Hot-Dip Galvanizing Line

    10th WSEAS International Conference on Applied Computer and Applied Computational Science, ACACOS'11, pp. 148-153

2010

  1. Control Model for an Elastomer Extrusion Process Obtained via a Comparative Analysis of Data Mining and Artificial Intelligence Techniques

    Polymer - Plastics Technology and Engineering, Vol. 49, Núm. 8, pp. 779-790

  2. Optimisation of concrete structures using data mining techniques. Application to oneway floor slabs

    Selected Proceedings from the 14th International Congress on Project Engineering (ASOCIACION ESPAÑOLA DE INGENIERIA DE PROYECTOS (AEIPRO)), pp. 81-90

  3. Optimización de costes en estructuras de hormigón mediante técnicas de minería de datos. Aplicación a forjados unidireccionales

    Comunicaciones presentadas al XIV Congreso Internacional de Ingeniería de Proyectos: Madrid 30 de junio, 1 y 2 de julio de 2010

  4. Prediction models for calculating bolted connections using data mining techniques and the finite element method

    Engineering Structures, Vol. 32, Núm. 10, pp. 3018-3027

2009

  1. Combining regression trees and the finite element method to define stress models of highly non-linear mechanical systems

    Journal of Strain Analysis for Engineering Design, Vol. 44, Núm. 6, pp. 491-502

  2. Redes inalámbricas de sensores: teoría y aplicación práctica

    Universidad de La Rioja