An Improved Grasshopper Optimization Algorithm Based Echo State Network for Predicting Faults in Airplane Engines

An Improved Grasshopper Optimization Algorithm Based Echo State Network for Predicting Faults in Airplane Engines

In today's age of industrialization, sensor devices installed on equipment generate a vast amount of data. One of the engineers' main jobs is utilizing these data to provide better solutions to industrial problems. This availability of extensive data partly led to the creation of predictiv...

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Bibliographic Details
Main Authors: Abubakar Bala, Idris Ismail, Rosdiazli Ibrahim, Sadiq M. Sait, Diego Oliva
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
airplanes
echo state network
evolutionary algorithms
grasshopper optimization algorithm (GOA)
metaheuristics
Online Access:https://ieeexplore.ieee.org/document/9180254/

Internet

https://ieeexplore.ieee.org/document/9180254/

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