GIS和RBF网络在直升机机降点选址分析中的应用

Application of Landing point selection method of helicopter based on GIS and RBF neural network

针对直升机机降点选址的重要性和复杂性,讨论了影响机降点选址的主要因素及其内容的确定和量化方法,本文提出以GIS为可视化分析平台,辅助基于免疫单克隆算法优化的RBF神经网络为分析模型的综合选址方法,最后,对本文提出的选址方法进行了仿真验证,仿真结果验证了该方法的有效性。

Because of the importance and complexity of the landing point selection of helicopter, the main factors that affect the selection were presented; also the determination and quantization methods of its content were discussed. In this paper, an integrated landing point selection method was proposed. It was based on GIS, which is the visualize analysis platform, and combined with the optimized RBF neural network based on immune single clone algorithm. Finally the simulation based on such selection method were developed, whose results had proved the eff iciency of this method.