Francisco Javier Martínez de Pisón Ascacíbar-rekin lankidetzan egindako argitalpenak (18)

2014

  1. Methodology based on genetic optimisation to develop overall parsimony models for predicting temperature settings on annealing furnace

    Ironmaking and Steelmaking, Vol. 41, Núm. 2, pp. 87-98

2013

  1. Decision support model for one-way floor slab design: A sustainable approach

    Automation in Construction, Vol. 35, pp. 460-470

2012

  1. Combining genetic algorithms and the finite element method to improve steel industrial processes

    Journal of Applied Logic, Vol. 10, Núm. 4, pp. 298-308

  2. 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

  3. Viabilidad técnica de la hibridación solar de ciclos combinados en Ciudad Real (España) y Las Vegas (USA)

    Comunicaciones presentadas al XVI Congreso Internacional de Ingeniería de Proyectos: celebrado en Valencia del 11 al 13 de julio de 2012

2011

  1. An application of soft computing techniques for a hotel decision support system

    Comunicaciones presentadas al XV Congreso Internacional de Dirección e Ingeniería de Proyectos: celebrado en Huesca, del 6 al 8 de julio de 2011

  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 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

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

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

  7. 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

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

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

  9. Programación de asignaturas en ingeniería mecánica según el EEES: Caso práctico

    Comunicaciones presentadas al XV Congreso Internacional de Dirección e Ingeniería de Proyectos: celebrado en Huesca, del 6 al 8 de julio de 2011

  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. Overall model of the dynamic behaviour of the steel strip in an annealing heating furnace on a hot-dip galvanizing line

    Revista de metalurgia, Vol. 46, Núm. 5, pp. 405-420

2009

  1. Redes inalámbricas de sensores: teoría y aplicación práctica

    Universidad de La Rioja