In order to forecast projectile impact points quickly and accurately,aprojectile impact point prediction method based on generalized regression neural network(GRNN)is presented.Firstly,the model of GRNN forecasting ...In order to forecast projectile impact points quickly and accurately,aprojectile impact point prediction method based on generalized regression neural network(GRNN)is presented.Firstly,the model of GRNN forecasting impact point is established;secondly,the particle swarm algorithm(PSD)is used to optimize the smooth factor in the prediction model and then the optimal GRNN impact point prediction model is obtained.Finally,the numerical simulation of this prediction model is carried out.Simulation results show that the maximum range error is no more than 40 m,and the lateral deviation error is less than0.2m.The average time of impact point prediction is 6.645 ms,which is 1 300.623 ms less than that of numerical integration method.Therefore,it is feasible and effective for the proposed method to forecast projectile impact points,and thus it can provide a theoretical reference for practical engineering applications.展开更多
建筑信息模型技术的快速发展和应用,为解决建筑生命期各阶段的信息"断层"问题提供了有效的途径和方法。但目前BIM应用主要通过文件进行数据交换和管理,无法形成完整的建筑信息模型,难以实现BIM的全部价值。本文针对完整BIM的...建筑信息模型技术的快速发展和应用,为解决建筑生命期各阶段的信息"断层"问题提供了有效的途径和方法。但目前BIM应用主要通过文件进行数据交换和管理,无法形成完整的建筑信息模型,难以实现BIM的全部价值。本文针对完整BIM的创建,提出了面向建筑全生命期的集成BIM构建框架,通过研究集成BIM基本结构、建模流程、应用架构以及建模关键技术,开发了BIM数据集成与服务平台(BIM Data Integration and Server Platform,BIMDISP)的原型系统,并通过实际工程的应用,验证了BIMDISP的可行性和适用性,为面向全生命期的BIM创建、管理与应用探索了新的方法和技术。展开更多
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文摘In order to forecast projectile impact points quickly and accurately,aprojectile impact point prediction method based on generalized regression neural network(GRNN)is presented.Firstly,the model of GRNN forecasting impact point is established;secondly,the particle swarm algorithm(PSD)is used to optimize the smooth factor in the prediction model and then the optimal GRNN impact point prediction model is obtained.Finally,the numerical simulation of this prediction model is carried out.Simulation results show that the maximum range error is no more than 40 m,and the lateral deviation error is less than0.2m.The average time of impact point prediction is 6.645 ms,which is 1 300.623 ms less than that of numerical integration method.Therefore,it is feasible and effective for the proposed method to forecast projectile impact points,and thus it can provide a theoretical reference for practical engineering applications.
文摘建筑信息模型技术的快速发展和应用,为解决建筑生命期各阶段的信息"断层"问题提供了有效的途径和方法。但目前BIM应用主要通过文件进行数据交换和管理,无法形成完整的建筑信息模型,难以实现BIM的全部价值。本文针对完整BIM的创建,提出了面向建筑全生命期的集成BIM构建框架,通过研究集成BIM基本结构、建模流程、应用架构以及建模关键技术,开发了BIM数据集成与服务平台(BIM Data Integration and Server Platform,BIMDISP)的原型系统,并通过实际工程的应用,验证了BIMDISP的可行性和适用性,为面向全生命期的BIM创建、管理与应用探索了新的方法和技术。