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Data Prediction Model Using Combination of Clustering and Fuzzy Technique
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作者 Md. Mafiul Hasan Matin tanzim kabir +1 位作者 Amina Khatun Md. Imdadul Islam 《Journal of Computer and Communications》 2020年第7期79-89,共11页
The analysis of environmental daily evaporation plays a vital role in the field of agriculture. It is very essential to know the daily evaporation rate of a particular area for proper cultivation. So, we need a standa... The analysis of environmental daily evaporation plays a vital role in the field of agriculture. It is very essential to know the daily evaporation rate of a particular area for proper cultivation. So, we need a standard prediction model which can predict the daily evaporation. In this paper, we use subtractive clustering and Fuzzy logic to predict daily evaporation of a particular area. The input data used in the paper are: maximum soil temperature, average soil temperature, average air temperature, minimum relative humidity, average relative humidity and total wind, which are related to the daily evaporation of a particular area as the output. The accuracy of output of the paper is compared with the previous model of Artificial Neural Network (ANN) and we get better result towards the target value. The finding of the paper is applicable in environmental science, geological science and agriculture. 展开更多
关键词 Subtractive Clustering Fuzzy Interface System ANN Scatterplot and Surface Plot
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