Genetic algorithm with a structure-based representation for genetic-fuzzy data mining
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2266-z
Abstract: Mining association rules is an important data mining technology aiming to find the relationship among items in the databases. Genetic-fuzzy data mining uses evolutionary algorithm, such as genetic algorithm (GA), to optimize the membership functions… read more here.
Keywords: data mining; mining; membership functions; genetic fuzzy ... See more keywords
Collaborative Control of Multiple Robots Using Genetic Fuzzy Systems
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DOI: 10.1017/s0263574719000353
Abstract: Summary This paper introduces an approach of collaborative control for individual robots to collaboratively perform a common task, without the need for a centralized controller to coordinate the group. The approach is illustrated by an… read more here.
Keywords: genetic fuzzy; control; robots using; control multiple ... See more keywords
An Intelligent Genetic Fuzzy Classifier for Transformer Faults
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DOI: 10.1080/03772063.2020.1732844
Abstract: Classification of faults in transformers with high accuracy is fundamental to ensuring good power quality with least interruptions. Our current work develops an intelligent genetic algorithm (GA)-t... read more here.
Keywords: classifier transformer; intelligent genetic; genetic fuzzy; transformer faults ... See more keywords
A Hybrid Nested Genetic-Fuzzy Algorithm Framework for Intrusion Detection and Attacks
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DOI: 10.1109/access.2020.2996226
Abstract: Intrusion Detection System (IDS) plays a very important role in security systems. Among its different types, Network Intrusion Detection System (NIDS) has an effective role in monitoring computer networks systems for malicious and illegal activities.… read more here.
Keywords: genetic fuzzy; nested genetic; intrusion detection; detection ... See more keywords
Forecasting the Direction of Short-Term Crude Oil Price Changes with Genetic-Fuzzy Information Distribution
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DOI: 10.1155/2018/3868923
Abstract: This paper proposes a novel approach to the directional forecasting problem of short-term oil price changes. In this approach, the short-term oil price series is associated with incomplete fuzzy information, and a new fused genetic-fuzzy… read more here.
Keywords: information; fuzzy information; genetic fuzzy; information distribution ... See more keywords