Metaheuristic Optimized Multi-Level Classification Learning System for Engineering Management

Metaheuristic Optimized Multi-Level Classification Learning System for Engineering Management

Multi-class classification is one of the major challenges in machine learning and an ongoing research issue. Classification algorithms are generally binary, but they must be extended to multi-class problems for real-world application. Multi-class classification is more complex than binary classifica...

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Bibliographic Details
Main Authors: Jui-Sheng Chou, Trang Thi Phuong Pham, Chia-Chun Ho
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
machine learning
multi-level classification
metaheuristic optimization
swarm and evolutionary algorithm
chaotic maps and Lévy flights
hybrid computing system
Online Access:https://www.mdpi.com/2076-3417/11/12/5533

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https://www.mdpi.com/2076-3417/11/12/5533

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