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Ambient Temperature Modelling through Traditional and Soft Computing Methods

机译:通过传统和软计算方法进行环境温度建模

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摘要

This paper presents a new hybrid approach based both on traditional and soft computing techniques to provide ambient temperature for those places where such a datum is not available. Indeed, we combine neural networks with the nearest neighbouring algorithm; we use a fuzzy logic decision maker and later compare the results of each single technique to the hybrid one. Experiments have been performed on several Italian places; results have shown a remarkable improvement in accuracy compared to single methods.
机译:本文提出了一种基于传统和软计算技术的新混合方法,可为没有此类数据的地方提供环境温度。实际上,我们将神经网络与最近的邻近算法结合在一起。我们使用模糊逻辑决策者,然后将每种技术的结果与混合技术进行比较。已经在意大利的几个地方进行了实验;结果表明,与单一方法相比,准确性显着提高。

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