چکیده مقاله
One of the most important factors affecting the precision of the performance of a GPS receiver is the relative positioning of satellites to each other The Geometric Dilution ofPrecision GDOP is a measure of the overall uncertainty in a Global Position System GPS position solution, the lower the values of the GDOP number, the better the geometric strength, and vice versa This study employs the hybrid technique of Mixture ofExperts ME and Particle Swarm Optimization PSO for the regression and classificationof GPS GDOP The simulation results demonstrate that MEPSO algorithm has great accuracy, so that it can improve classification accuracy of GPS satellites about 98 25%
کلیدواژهها
نویسندگان
Mohammad Hossein Refan
Shahid Rajaee Teacher Training University, Iran, Tehran
Adel Dameshghi
Mohammad Hossein Refan Shahid Rajaee Teacher Training University, Iran, TehranMehrnoosh kamarzarrin
Mehrnoosh kamarzarrin
Mohammad Hossein Refan Shahid Rajaee Teacher Training University, Iran, TehranAdel Dameshghi
شیوه ارجاع
Refan, Mohammad Hossein and Dameshghi, Adel and kamarzarrin, Mehrnoosh,1392,Using ME-PSO Classification Algorithm for Clustering Geometric Dilution of Precision (GDOP,7th International Conference on e- Commerce whit focus on e-Security,Kish Island
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مجموعه مقالات هفتمین کنفرانس بین المللی تجارت الکترونیک در کشورهای در حال توسعه با رویکرد بر امنیت ECDC201328 فروردین 1392 · جزیره کیش