Artificial neural networks in civil engineering: another five years of research in Poland

This state-of-the-art-paper is a resum´e of research activity of a non-formal Research Group on ArticialNeural Networks (RGANN) applications in Civil Engineering (CE). RGANN has been working at the Cracow University of Technology, Poland, since 1996 under the supervision of the author of this paper.Ten years 1996–2005 of the research and teaching activity of RGANN was reported in paper [61]. Thepresent paper brie?y reports on the activities originated in the ten year period and their continuation after2005. The main attention is focused on new research carried out in the five year period 2006–2011. The paper discusses some selected problems which are included in fourteen supplementary papers, marked in references of these papers as published in this CAMES Special Issue. The attention is focused on: Hybrid Computational Systems, development of modifications of ANNs and methods of their learning, Bayesian neural networks and Bayesian inference methods, damage identi?cation in CE structures, structure health monitoring, applications of ANNs in mechanics of structures and materials, joining of ANNs with measurements on laboratory models and real structures, developmentof new non-destructive measurement methods, applications of ANNs in health structure monitoring andrepair, applications of ANNs in geotechnics and geodesy. The paper is based on the supplementary papers which were presented at the Special Session on Applications of ANNs at the 57th Polish Civil EngineeringConference in Krynica, 2011, see [74].