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

被引：0

作者：

Santika, Gayatri Dwi ^{[1
]}

Wulandari, Diah Ayu Retnani ^{[1
]}

Dewi, Fitriyana ^{[1
]}

机构：

[1] Univ Jember, Fac Comp Sci, Dept Informat Technol, Jember, Indonesia

来源：

2018 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND COMPUTER SCIENCE (ICECOS) | 2018年

关键词：

NFIS; Genetic Algorithm; RMSE; cocoa beans; expert system;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The cocoa cultivated at cocoa center in Kebun Kalisepanjang is Bulk cacao type. At every stage must he 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.

引用

页码：195 / 200

页数：6

共 14 条

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