Capability of artificial neural network for forward conversion of geodetic coordinates \((\phi ,\lambda ,h)\) to Cartesian coordinates \((X,Y,Z)\)

DOI10.1007/S11004-016-9638-XzbMath1398.86011OpenAlexW2433272221WikidataQ59894610 ScholiaQ59894610MaRDI QIDQ1798775

Yao Yevenyo Ziggah, Laari Prosper Basommi, Hu Youjian, Xian-Yu Yu

Publication date: 23 October 2018

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-016-9638-x

zbMATH Keywords

backpropagationmultiple linear regressionradial basis function neural networkcoordinate conversionstandard forward transformation equation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Geodesy, mapping problems (86A30)

Uses Software

• levmar

Cites Work

• Unmanned rotorcraft systems.
• Multilayer feedforward networks are universal approximators
• Transformation of coordinates between two horizontal geodetic datums
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Capability of artificial neural network for forward conversion of geodetic coordinates \((\phi ,\lambda ,h)\) to Cartesian coordinates \((X,Y,Z)\)