1. Application of Fuzzy Neural Networks Based on Genetic Algorithms in Integrated Navigation System
- Author
-
Jianjuan Liu
- Subjects
Neuro-fuzzy ,Artificial neural network ,Fuzzy neural ,Computer science ,business.industry ,Computer Science::Neural and Evolutionary Computation ,Quality control and genetic algorithms ,Navigation system ,Machine learning ,computer.software_genre ,Sensor fusion ,Data fusion algorithms ,ComputingMethodologies_GENERAL ,Artificial intelligence ,Intelligent control ,business ,computer - Abstract
There are matters of non-linear, computing errors, dimension tragedy, and model errors in conventional data fusion algorithms in integrated navigation. Fuzzy neural networks based on genetic algorithms not only has the capacity of the fuzzy neural networks, such as expressing approximate and qualitative knowledge, study, and expressing non-linear, but also has the competence of fast global searching of the genetic algorithms. So fuzzy neural networks based on genetic algorithms can be treated as an effective data fusion algorithms. And it was used in integrated navigation in this paper; the simulation results testified its validity.
- Published
- 2009
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