activity
20062018
most citedExperimental modeling of physical laws

15 citations · 26 across the 11 of their papers we have counts for

collaborators

11 papers

cs.NE2018★ 1 cited

Development of a sensory-neural network for medical diagnosing

Igor Grabec, Eva Švegl, Mihael Sok

Performance of a sensory-neural network developed for diagnosing of diseases is described. Information about patient's condition is provided by answers to the questionnaire. Questi…

cs.GR2018

Evolution of natural patterns from random fields

Lovrenc Švegl, Igor Grabec

In the article a transition from pattern evolution equation of reaction-diffusion type to a cellular automaton (CA) is described. The applicability of CA is demonstrated by generat…

physics.comp-ph2007

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…

physics.data-an2007

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…

physics.data-an2007★ 9 cited

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…

physics.data-an2007★ 15 cited

Experimental modeling of physical laws

I. Grabec

A physical law is represented by the probability distribution of a measured variable. The probability density is described by measured data using an estimator whose kernel is the i…