New Neural Network-based Approaches for GPS GDOP Classification based on Neuro-Fuzzy Inference System, Radial Basis Function, and Improved Bee Algorithm

- GDOP stands as a relevant measure of positioning accuracy.
- We propose hybrid intelligent methods, namely ANFIS, improved ANFIS, and RBF, for GPS GDOP classification.
- Bee algorithm (BA) and improved BA are proposed for finding the optimum radius vector of the ANFIS.
- To enhance the classification accuracy, PCA is utilized.