Comprehensive Hybrid Gaussian algorithm for rock mass stability assessment in complex geological formations: A machine learning approach with dynamic kernel optimization

Frontiers of Structural and Civil Engineering, vol. 19, pp. 1759–1787

Authors 3

1. Youliang Chen

   UNSW Sydney · University of Shanghai for Science and Technology

   Affiliation as printed

   Department of Civil Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

   School of Civil and Environmental Engineering, University of New South Wales, Kensington, NSW, 2052, Australia

2. Wencan Guan corresponding Aachen Department of Engineering Geology and Hydrogeology

   RWTH Aachen University · UNSW Sydney · University of Shanghai for Science and Technology

   Affiliation as printed

   Department of Civil Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

   Department of Engineering Geology and Hydrogeology, RWTH Aachen University, Aachen, 52064, Germany

   School of Civil and Environmental Engineering, University of New South Wales, Kensington, NSW, 2052, Australia

3. Rafig Azzam Aachen Department of Engineering Geology and Hydrogeology

   RWTH Aachen University

   Affiliation as printed

   Department of Engineering Geology and Hydrogeology, RWTH Aachen University, Aachen, 52064, Germany