Photonic extreme learning machine based on frequency multiplexing
نویسندگان
چکیده
The optical domain is a promising field for the physical implementation of neural networks, due to speed and parallelism optics. Extreme learning machines (ELMs) are feed-forward networks in which only output weights trained, while internal connections randomly selected left untrained. Here we report on photonic ELM based frequency-multiplexed fiber setup. Multiplication by can be performed either offline computer or optically programmable spectral filter. We present both numerical simulations experimental results classification tasks nonlinear channel equalization task.
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ژورنال
عنوان ژورنال: Optics Express
سال: 2021
ISSN: ['1094-4087']
DOI: https://doi.org/10.1364/oe.433535