Prediction of geodetic point velocity using MLPNN, GRNN, and RBFNN models: a comparative study

Yerel katalogda bu makaleye atıf yapan 11 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

1. Investigating the Efficiency of Deep Learning Methods in Estimating GPS Geodetic Velocity 2022 Atıf 16 · OpenAlex
2. Machine learning approach for GNSS geodetic velocity estimation 2024 Atıf 8 · OpenAlex
3. Machine Learning Approach for GNSS Geodetic Velocity Estimation 2024 Atıf 8 · OpenAlex
4. Machine learning approach for GNSS geodetic velocity estimation 2024 Atıf 8 · OpenAlex
5. Prediction of GNSS Velocity Accuracies Using Machine Learning Algorithms for Active Fault Slip Rate Determination and Earthquake Hazard Assessment 2025 Atıf 5 · OpenAlex
6. The velocity of aseismic surface deformations between 2016‑2020 detected by precise leveling surveys of the Akşehir Simav Fault System in the Bolvadin district, western Anatolia. 2022 Atıf 3 · OpenAlex
7. The velocity of aseismic surface deformations between 2016\u20112020 detected by precise leveling surveys of the Akşehir Simav Fault System in the Bolvadin district, western Anatolia 2022 Atıf 3 · OpenAlex
8. The velocity of aseismic surface deformations between 2016-2020 detected by precise leveling surveys of the Akşehir Simav Fault System in the Bolvadin district, western Anatolia 2022 Atıf 3 · OpenAlex
9. The velocity of aseismic surface deformations between 2016‑2020 detected by precise leveling surveys of the Akşehir Simav Fault System in the Bolvadin district, western Anatolia 2022 Atıf 3 · OpenAlex
10. The velocity of aseismic surface deformations between 2016‑2020 detected by precise leveling surveys of the Akşehir Simav Fault System in the Bolvadin district, western Anatolia 2022 Atıf 3 · OpenAlex