Neural Networks (NN) are a soft computing technique that is able to capture and represent complex input-output relationships and discover patterns in data. NN have emerged over the last two decades as a valuable tool that can be applied to a wide variety of problems arising in many scientific and engineering applications. The aim of this Special Session is to provide an overview of NN applications in the areas of Civil, Structural and Environmental Engineering. Contributions are welcome, which demonstrate the successful use of NN in engineering applications, describe new or customized NN formulations, present comparative assessments with other soft computing techniques, etc.

For specific questions regarding the scope of this session please contact the organiser:

• Prof. Dimos C. Charmpis
  University of Cyprus, Nicosia, Cyprus
  (charmpis AT ucy.ac.cy)
• Dr Nikos D. Lagaros
  National Technical University of Athens, Greece
  (nlagaros AT central.ntua.gr)

Please note that papers that are found to fall outside the scope of this session may be considered for other sessions.

To submit abstracts for this special session, please follow the normal abstract submission procedure but please select "CSC2013-S07" when asked "Is this paper part of a special session?"