...) for training multi-layer perceptron (MLP) model by finding the optimal set of weight and biases. Design/methodology/approach The efficiency of MHDA in training MLPs is evaluated by applying it to classification and approximation benchmark data sets. Performance comparison between MHDA and other training...

... Approximation Fluctuation expansion When the values of a multivariate function at all nodes of a rectangular hyperprismatic grid are given rather than its analytical structure and it is asked to determine an analytical structure for that multivariate function, standard numerical methods may come...

... the analysis cost. Global and local approaches are considered. The latter will require a globalization scheme (sequential approximate optimization (SAO)) to ensure convergence. Findings Physically based surrogates were proposed. Classical techniques, namely Taylor series and kriging, are also implemented...