… applied for studying various nonlinear effects in optical fibers, mainly due to its straightforward
… in optical fibers have been solved using DL with different neural network structures based …

… The neural network and multimode optical fiber system that we developed in this project
is … transmitting and receiving the characters A through Z through a multimode optical fiber. …

… fiber sensing data using advanced machine learning methods such as artificial neural networks
(… robotics [7], aerospace [8], audio signal processing [9] and fiber optics [10]. In the field of …

… [2], neural networks have not been applied to fiber-optic transmission systems so far. Since
optical fibers … uses, the combination of neural networks and fiber optics is supposed to create …

We propose a simple and cost-effective technique for modulation format identification (MFI)
in next-generation heterogeneous fiber-optic networks using an artificial neural network (ANN…

… Schematic drawing giving the architecture of the optical neural network considered in this
paper. Neurons are indicated by circles in the figure. The neurons are interconnected in an …

… method based on neural network algorithm can … fiber laser sensing system based on neural
network algorithm to measure temperature using beat frequency signals is proposed. A fiber …

… neural networks (CNNs) to denoise two-dimensional Rayleigh backscatter signals from
standard single-mode optical fibers. We use the wavelength-scanning coherent optical time …

… of FSOI, and then in terms of WOI, we introduce the all-optical neural network (AONN) based
on fiber optics and integrated photonic technology in Sec. IV. Futhermore, we elaborate the …

… -informed neural network (PINN)-based method is proposed for optical fiber parameter …
approach performs well and can be further extended to multiple applications in fiber optics. …