MPRS method

Version 1.0.1 (5,41 KB) von Milan Zukovic
Modified planar rotator interpolation method (MPRS) for D-dimensional data (D = 1, 2 or 3) in time or space.
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Aktualisiert 30. Sep 2025

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MPRS is physically inspired machine learning method for spatial/temporal regression. MPRS is a non-parametric model which incorporates spatial or temporal correlations via short-range, distance-dependent "interactions" without assuming a specific form for the underlying probability distribution. Predictions are obtained by means of a fully autonomous learning algorithm which employs equilibrium conditional Monte Carlo simulations. MPRS is able to handle scattered data and arbitrary spatial dimensions.

Zitieren als

Milan Zukovic (2026). MPRS method (https://de.mathworks.com/matlabcentral/fileexchange/135757-mprs-method), MATLAB Central File Exchange. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2018a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
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Quellenangaben

Inspiriert von: Modified planar rotator (MPR) method, Movingslope

Version Veröffentlicht Versionshinweise
1.0.1

Uploaded auxiliary function movingslope.m
1.0.0