Publicacións nas que colabora con Fernando Martínez-Abella (10)

2013

  1. Genetic programming to improvement FIB model bond and anchorage of reinforcing steel in structural concrete

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012

  1. Optical Analysis of Strength Tests Based on Block-Matching Techniques

    Computer-Aided Civil and Infrastructure Engineering, Vol. 27, Núm. 8, pp. 573-593

  2. Optimization of existing equations using a new Genetic Programming algorithm: Application to the shear strength of reinforced concrete beams

    Advances in Engineering Software

2011

  1. Study of strength tests with computer vision techniques

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. Artificial Intelligence techniques applied to reinforced concrete

    Structures and Architecture - Proceedings of the 1st International Conference on Structures and Architecture, ICSA 2010

  2. Optimal adjustment of EC-2 shear formulation for concrete elements without web reinforcement using Genetic Programming

    Engineering Structures, Vol. 32, Núm. 11, pp. 3452-3466

  3. Soft computing techniques in civil engineering: Time series prediction

    Soft Computing Methods for Practical Environment Solutions: Techniques and Studies (IGI Global), pp. 143-159

2008

  1. Applying genetic programming to civil engineering in the improvement of models, codes and norms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Experimental evaluation of expansive behavior of an old-aged ASR-affected dam concrete: Methodology and application

    Materials and Structures/Materiaux et Constructions, Vol. 41, Núm. 1, pp. 173-188

2005

  1. Una propuesta para la determinación de longitudes de anclaje en hormigones de hasta 100 MPa mediante técnicas de programación genética

    Las estructuras del siglo XXI, sostenibilidad, innovación y retos del futuro: comunicaciones