9 citations · 10 across the 6 of their papers we have counts for
7 papers
Modeling the field of laser welding melt pool by RBFNN
A. Borstnik Bracic, E. Govekar, I. Grabec
Efficient control of a laser welding process requires the reliable prediction of process behavior. A statistical method of field modeling, based on normalized RBFNN, can be success…
Estimation of experimental data redundancy and related statistics
I. Grabec
Redundancy of experimental data is the basic statistic from which the complexity of a natural phenomenon and the proper number of experiments needed for its exploration can be esti…
Extraction of physical laws from joint experimental data
I. Grabec
The extraction of a physical law y=yo(x) from joint experimental data about x and y is treated. The joint, the marginal and the conditional probability density functions (PDF) are…
A general approach to statistical modeling of physical laws: nonparametric regression
I. Grabec
Statistical modeling of experimental physical laws is based on the probability density function of measured variables. It is expressed by experimental data via a kernel estimator.…
Intelligent location of simultaneously active acoustic emission sources: Part II
T. Kosel, I. Grabec
Part I describes an intelligent acoustic emission locator, while Part II discusses blind source separation, time delay estimation and location of two continuous acoustic emission s…
The Normalized Radial Basis Function Neural Network and its Relation to the Perceptron
I. Grabec
The normalized radial basis function neural network emerges in the statistical modeling of natural laws that relate components of multivariate data. The modeling is based on the ke…