【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.更多还原

【Abstract】 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 complex mathematical calculation and solve key problems of VR-GIS platform effectively.更多还原