| 面向防汛减灾VR-GIS的汛情虚拟场景演进方法研究 |
| |
| 引用本文： | 苗雪兰. 面向防汛减灾VR-GIS的汛情虚拟场景演进方法研究[J]. 韶关学院学报, 2012, 0(4): 26-30 |
| |
| 作者姓名： | 苗雪兰 |
| |
| 作者单位： | 韶关学院计算机科学学院,广东韶关512005 |
| |
| 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.
|
| 关 键 词： | 虚拟地理信息系统 模糊神经网络 汛情虚拟场景 数学模型 |
The research on evolvement method of flood virtual scene for flood disaster mitigation VR-GIS |
| |
| MIAO Xue-lan. The research on evolvement method of flood virtual scene for flood disaster mitigation VR-GIS[J]. Journal of Shaoguan University(Social Science Edition), 2012, 0(4): 26-30 |
| |
| Authors: | MIAO Xue-lan |
| |
| Affiliation: | MIAO Xue-lan (Institute of Computer Science, Shaoguan University, Shaoguan 512005, Guangdong, China) |
| |
| 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 com- plex mathematical calculation and solve key problems of VR-GIS platform effectively. |
| |
| Keywords: | VR-GIS Fuzzy neural network flood virtual scene mathematical model |
| 本文献已被 CNKI 维普 等数据库收录！ |
