Error Function Impact in Dynamic Data-driven Framework Applied to Forest Fire Spread Prediction
نویسندگان
چکیده
منابع مشابه
Dynamic Data Driven Application for Forest Fire Spread Prediction
This work describes a two stages prediction method for wildland fire growth prediction. Proposed method takes advantege of genetic algorithms in order to develope a high performance and scalable application. Usually, a prediction is made using a forest fire simulator which receives several inputs (fire environment description) and it returns the state of the fire for a later instant of time. Ha...
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This work represents the first step toward a DDDAS for Wildland Fire Prediction where our main efforts are oriented to take advantage of the computing power provided by High Performance Computing systems to, on the one hand, propose computational data driven steering strategies to overcome input data uncertainty and, on the other hand, to reduce the execution time of the whole prediction proces...
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Forest fires cause important losses around the world every year. A good prediction of fire propagation is a crucial point to minimize the devastating effects of these hazards. Several models that represent this phenomenon and provide a prediction of its spread have been developed. These models need input parameters which are usually difficult to know or even estimate. A twostage prediction meth...
متن کاملScalability Analysis of a Parallel Dynamic Data Driven Genetic Algorithm for Forest Fire Spread Prediction∗
This work presents a performance study of a Parallel Dynamic Data Driven Genetic Algorithm (Parallel DDDGA) for Forest Fire Prediction. The main objective is to obtain a trade off between prediction quality and the time incurred in that prediction. For this purpose, High Performance Computing is applied to exploit the parallel features of the proposed parallel DDDGA. A framework was developed, ...
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This work describes a Dynamic Data Driven Genetic Algorithm (DDDGA) for improving wildfires evolution prediction. We propose an universal computational steering strategy to automatically adjust certain input data values of forest fire simulators, which works independently on the underlying propagation model. This method has been implemented in a parallel fashion and the experiments performed de...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.05.342