智能导航系统中ANFIS的进化优化

2013 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2013-07-25 DOI:10.1109/ICRTIT.2013.6844259

N. Sivasankari, M. Malleswaran

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引用次数: 0

摘要

全球定位系统(GPS)和惯性导航系统(INS)数据可以集成以提供可靠的导航。本文提出了一种不需要对GPS和INS传感器特性建模的情况下，解决GPS/INS数据集成问题的方法。人工智能(AI)技术在智能导航系统中的应用已经发展成为传统卡尔曼滤波方法的替代方案，在传统的卡尔曼滤波方法中，必须对整个系统建模。许多人工智能技术已经为此实现，其中使用ANFIS代替神经网络和模糊逻辑已被广泛实现。本文提出了一种优于遗传优化ANFIS的Memetic optimization on ANFIS (MANFIS)。

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Evolutionary optimization in ANFIS for intelligent navigation system

Global Positioning System (GPS) and Inertial Navigation System (INS) data can be integrated to provide a reliable navigation. This paper presents an approach of solving GPS/INS data integration problem, without the need of modeling the characteristics of GPS and INS sensors. Use of Artificial Intelligence (AI) techniques for an intelligent navigation system has been developed as an alternative to the conventional Kalman filter approach, in which it is mandatory to model the entire system. Many AI techniques have been implemented for the same, in which the use of ANFIS instead of neural networks and fuzzy logic has been widely implemented. In this paper Memetic optimization on ANFIS (MANFIS) has been proposed which outperforms Genetically optimized ANFIS (GANFIS).

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2013 International Conference on Recent Trends in Information Technology (ICRTIT)

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