用于交通质量保证的气象参数神经预测系统

A. Trandabăț, M. Pîslaru, R. Ciobanu
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引用次数: 0

摘要

这项工作试图解决道路上和着陆路径表面结冰的问题。我们都知道,道路上和机场上出现的不可预测的冰是造成这两个地方大多数人员和物质损失的主要原因。神经元预测系统希望成为现有预测系统的替代方案。该系统将网络、软件(Labview、Matlab)等最后时刻技术和最现代的编程方法(神经网络、神经模糊系统、统计信号处理)相结合,其结果希望成为一个比现有系统更精确、更便宜的冰形成预测系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neuronal prediction system of meteorological parameters for quality assurance of the traffic
This work tries to be an answer to the problem of the ice formations on the road and over the taking of landing ways surfaces. As we all know, the unpredicted apparition of the ice over the roads and in the airports is the main cause of the majority human and material looses in those two places. The neuronal prediction system wants to be an alternative to the existent forecasting systems. This system will combine the last moment technique like the networks, the software (Labview, Matlab) and the most modern programming approach: neuronal networks, neuro-fuzzy systems, statistical signal processing, and the result wants to be a prediction system for the ice formation which is very precise and less expensive than the existent systems.
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