基于混合自适应神经模糊推理系统和遗传算法的可可豆出口品质评价等级

2018 International Conference on Electrical Engineering and Computer Science (ICECOS) Pub Date : 2018-10-01 DOI:10.1109/ICECOS.2018.8605189

Gayatri Dwi Santika, D. Wulandari, Fitriyana Dewi

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引用次数: 2

摘要

Kebun Kalisepanjang可可中心种植的可可为散装可可。在每个阶段都必须经过助理的批准，特别是在确定可可豆的质量方面。辅助加工工艺对所生产的质量负全部责任，使所得到的质量水平测定准确。利用专家系统中的ANFIS方法处理本研究中使用的外部因素，并使用遗传算法(GAs)从可可豆质量中确定出口质量。本研究的RMSE为4.3，表明该算法作为可可豆质量选择的专家系统是可行的。

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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Quality Assessment Level of Quality of Cocoa Beans Export Quality using Hybrid Adaptive Neuro - Fuzzy Inference System (ANFIS) and Genetic Algorithm

The cocoa cultivated at cocoa center in Kebun Kalisepanjang is Bulk cacao type. At every stage must be approved by the Assistant processing techniques especially in determining the quality of cocoa beans. Assistant processing techniques to take full responsibility for the quality produced so that the resulting quality level determination to be accurate. The use of ANFIS method in expert system is implemented to process the external factors used in this research and for determining the quality of export from the quality of cocoa beans used Genetic Algorithm (GAs). The RMSE of this research is 4.3 indicates that the algorithms are feasible as an expert system to select the quality of cocoa beans.

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2018 International Conference on Electrical Engineering and Computer Science (ICECOS)

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