Application of the method of gaussian processes to identification problems of structures and soil mechanics
Two problems are analyzed in the paper: 1) prediction and identification of critical loads and concrete strength in compressed R/C columns, 2) identification of compaction characteristics in granular soils. The main goal of the paper is to compare the numerical efficiency of the Method of Gaussian Processes with the results obtained by means of other methods (Extended Back Propagation Neural Network, Semi Bayesian Neural Networks and Bayesian methods).