基于自适应网络的模糊推理系统(ANFIS)评价温室作物参考蒸散量

Proceedings of the 3rd International Conference on Machine Learning and Soft Computing Pub Date : 2019-01-25 DOI:10.1145/3310986.3310987

J. Balmat, F. Lafont, A. M. Ali, N. Pessel, J. C. R. Fernández

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引用次数: 3

摘要

本文研究了温室内参考作物蒸散量(ETo)的评价方法。在基于自适应网络的模糊推理系统(ANFIS)的基础上，提出了一种比经典方法使用更少信息估计ETo的方法。本文给出了一个温室实测数据的计算结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evaluation of the reference evapotranspiration for a greenhouse crop using an Adaptive-Network-Based Fuzzy Inference System (ANFIS)

In this paper, the evaluation of the reference crop evapotranspiration (ETo) in a greenhouse is studied. Based upon an Adaptive-Network-Based Fuzzy Inference System (ANFIS), we proposed a methodology to estimate ETo using less information than the classical methods. The results obtained are presented for a greenhouse with real data.

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Proceedings of the 3rd International Conference on Machine Learning and Soft Computing

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