面向防汛减灾VR-GIS的汛情虚拟场景演进方法研究

摘要

基于模糊神经网络和面向对象方法，对汛情虚拟场景及实现方法进行了研究，提出了基于模糊联想记忆网络FAM的汛情场景演进模型EFSM．EFSM采用多层模糊联想记忆网络，避免了大规模复杂数学计算，有效解决了防汛减灾VR-GIS平台的关键问题．%The paper studies on flood virtual scene and its realization method based on Fuzzy neural network and object-oriented method, proposes flood scene evolution model （EFSM） based on Fuzzy associative memory （FAM）. EFSM is adopted multi-level fuzzy associative memory network, in order to avoid the large-scale com- plex mathematical calculation and solve key problems of VR-GIS platform effectively.