Adaptive sigmoid-like and PReLU activation functions for all-optical perceptron
Jasna V. Crnjanski, Marko M. Krstić, Angelina Totović, Nikos Pleros, Dejan M. Gvozdić
Abstract
We present an approach for the generation of an adaptive sigmoid-like and PReLU nonlinear activation function of an all-optical perceptron, exploiting the bistability of an injection-locked Fabry-Perot semiconductor laser. The profile of the activation function can be tailored by adjusting the injection-locked side-mode order, frequency detuning of the input optical signal, Henry factor, or bias current. The universal fitting function for both families of the activation functions is presented.
Topics & Concepts
Sigmoid functionActivation functionOpticsSIGNAL (programming language)Semiconductor laser theoryBistabilityMultilayer perceptronNonlinear systemPhysicsFunction (biology)LaserComputer scienceOptoelectronicsArtificial neural networkArtificial intelligenceProgramming languageQuantum mechanicsBiologyEvolutionary biologyNeural Networks and Reservoir ComputingOptical Network TechnologiesPhotonic and Optical Devices