Experimental modeling of physical laws

Abstract

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 instrument scattering function. The experimental information and data redundancy are defined in terms of information entropy. The model cost function, comprised of data redundancy and estimation error, is minimized by the creation-annihilation process.

12 pages, 5 eps figures, uses svjour.cls

Cited by in corpus (4)

• Extraction of physical laws from joint experimental data
• The Normalized Radial Basis Function Neural Network and its Relation to the Perceptron
• Estimation of experimental data redundancy and related statistics
• Experimental Information and Statistical Modeling of Physical Laws