Method for predicting a failure risk of the UAV navigation systems

Abstract

This paper introduces a new algorithm for predicting a failure risk of the UAV navigation systems using genetic algorithms, fuzzy rules and neural networks. This approach combines the advantages of fuzzy rules and neural networks such as interpretability and learning ability, while using genetic algorithm to construct an initial set of fuzzy rules.