Differential Evolution Algorithm for Compact and Highly Accurate Photonic Extreme Learning Machines

20240 citationsJournal Article

Authors

Daniel Pérez · iPronics Programmable Photonics (Spain)

Antonio Hurtado · University of Strathclyde

Abstract

We employ a differential evolution algorithm to reduce the impact of the random layer in programmable photonic extreme learning machines. Higher accuracy with reduced node number requirements is demonstrated in an integrated hexagonal mesh.

Topics & Keywords

Machine Learning and ELM Neural Networks and Applications Metaheuristic Optimization Algorithms Research

Publication Details

DOI: 10.1109/cleo-pr60912.2024.10676608

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Differential Evolution Algorithm for Compact and Highly Accurate Photonic Extreme Learning Machines

Authors

Abstract

Topics & Keywords

Publication Details