Neural network-based techniques for the damage identification of bridges: a review of recent advances, Arangio S.
2013 icossar sa_sm_fb_upload
Ebooksclub.org Machine Learning Methods in the Environmental Sciences Neural Networks and Kernels
Genetic algorithms for neural networks An introduction.
Bayesian Neural Networks and Irradiated Materials Properties Richard Kemp University of Cambridge.
Minimal Neural Networks Support vector machines and Bayesian learning for neural networks Peter Andras [email protected].
RESULTS OF THE WCCI 2006 PERFORMANCE PREDICTION CHALLENGE Isabelle Guyon Amir Reza Saffari Azar Alamdari Gideon Dror.
Physics with Top Quarks
1 Practical issues and tools for modeling temporal and spatio-temporal trends in atmospheric pollutant monitoring data Paul D. Sampson Department of Statistics.
Minimal Neural Networks
