2D COORDINATE TRANSFORMATION USING ARTIFICIAL NEURAL NETWORKS

12 citations as recorded by crossref.

1. Prediction of elevation points using three different heuristic regression techniques V. DEMİR & R. DOĞU
2. Towards Bridging GIS and 3D Modeling: A Framework for Learning Coordinate Conversion Using Machine Learning T. Qadah et al.
3. Evaluating two numerical methods for developing a local geoid model and a local digital elevation model for the Red Sea Coast, Egypt H. Ahmed et al.
4. Maximizing grid-on-grid transformation performance with regularized regression techniques for integrating multi-source geospatial data M. Habib et al.
5. Statistical inference and residual analysis for the evaluation of datum transformation models developed on 3D coordinate data A. Hassan et al.
6. Çok Katmanlı Algılayıcı Yapay Sinir Ağı ile Jeodezik Elipsoidal Koordinatların (φ, λ, h) 3 Boyutlu Global Kartezyen Koordinatlara (X, Y, Z) Dönüşümü B. KONAKOGLU
7. The application of an artificial neural network for 2D coordinate transformation A. Abbas et al.
8. Digital elevation modeling using artificial neural networks, deterministic and geostatistical interpolation methods E. ÇUBUKÇU et al.
9. Development of ANN optimized affine-6 2D coordinate transformation model M. Kinyua et al.
10. Prediction of geodetic point velocity using MLPNN, GRNN, and RBFNN models: a comparative study B. Konakoglu
11. A novel three-direction datum transformation of geodetic coordinates for Egypt using artificial neural network approach H. Elshambaky et al.
12. FEASIBILITY OF USING GROUP METHOD OF DATA HANDLING (GMDH) APPROACH FOR HORIZONTAL COORDINATE TRANSFORMATION B. Kumi-Boateng & Y. Ziggah