Artificial hummingbird optimizer as a novel adaptive algorithm for identifying optimal coefficients of digital IIR filtering systems
Author:
Affiliation:
1. Department of Computer Engineering, Batman University, Batman, Turkey
2. MEU Research Unit, Middle East University, Amman, Jordan
3. Department of Computer and Instructional Technology Education, Van Yuzuncu Yil University, Van, Turkey
Funder
No funding
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Mechanics of Materials,Modeling and Simulation,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/02286203.2023.2240564
Reference37 articles.
1. Design and modeling of adaptive IIR filtering systems using a weighted sum - variable length particle swarm optimization
2. Adaptive infinite impulse response system identification using teacher learner based optimization algorithm
3. Modified Whale Optimization Algorithm for Infinitive Impulse Response System Identification
4. Nonlinear System Identification Using Adaptive Volterra Model Optimized with Sine Cosine Algorithm
5. Cuevas E, Avalos O, Gálvez J. IIR system identification using several optimization techniques: a review analysis. Available from. 2023:89–104. https://link.springer.com/10.1007/978-3-031-20105-9_5
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