Based On The Genetic Neural Network Of Urban Earthquake Emergency Rescue Aided Decision-making System Research And Implementation

Earthquake with sudden and unpredictable, is a serious natural disaster. China is a multi earthquake country, every place in cities and densely populated areas of the earthquake, will bring a lot of casualties and huge property losses, and may lead to secondary disasters as well as large areas of the broader social disasters, to our state and national heavy disaster. Genetic algorithms and neural networks to introduce GIS into the city after the earthquake emergency rescue decision support system, achieve rapid urban earthquake disaster prediction, dynamic simulation and decision support capabilities for the future to carry out urban earthquake disaster prediction and disaster relief after the earthquake work provides a viable city available after the earthquake emergency rescue decision support system to improve the level of urban earthquake disaster mitigation.Based on urban earthquake disaster situation analysis conducted after the earthquake emergency rescue urban decision support system design, describes the modeling and decision analysis model city after the earthquake emergency rescue decision support system needed. In the model, the author used a genetic neural network approach to building damage and casualties and homeless persons were predicted to achieve better results, and promote the intelligent genetic neural network applications in the study of earthquakes. Based on multi-attribute decision making method using information entropy analysis of emergency shelter location problem, establish a corresponding mathematical model, and an example to verify the feasibility and rationality of the method. Uses a relational database to manage urban earthquake disaster information in the underlying database construction, a detailed analysis of the design and build process of a relational database. Secondary development of the city after the earthquake emergency rescue decision support system based on the use of COM technology-based integrated secondary development method(VisualC + +, SuperMap Objects), the system built on a full investigation on the basis of customer needs analysis, and the entire development process and the development of methods described, and gives partial implementation procedures.In this system can be realized on the basis of geographic data, seismic thematic data, document data, WEB management interface, and can achieve the dynamic simulation of earthquake evacuation of personnel. Intelligent Computing neural networks, genetic algorithms can be combined with in-depth GIS for urban earthquake disaster simulation, urban disaster forecasting, quick to judge the city after the earthquake disaster, the city after the earthquake emergency rescue information processing and decision support management and provide great earthquake education support.