Modelling of symmetrical quadrature optical ring resonator with four different topologies and performance analysis using machine learning approach

Abstract The communication network based on the optical system requires more precise and efficient devices and equipment. Optical ring resonator is a versatile device used as a filter, delay line, add/drop multiplexer, switch, sensor and analyzer etc. We modelled the new symmetrical quadrature optical ring resonator (SQORR) and proposed four different topologies architecture for the multiple optical ring resonator. The performance of the proposed symmetrical quadrature optical ring resonator is assessed using regression based machine learning (ML) approach utilizing an Artificial neural network (ANN) with various checks are done to validate the approximations like error histogram, time series response, error autocorrelation, input-error correlation and mean-square-error (MSE). The best validation performance is 8.8486e-9 stopped at 103 for rhombus topology, 8.347e-9 stopped at 242 epochs, 8.8486e-9 stopped at 311 epochs for horizontal topology and 5.8012e-09 stopped at 373 epochs for square topology. The significance of the work is to increase FSR (free spectral range) by adding rings and wide FSR achieved 299.79 THz (maximum) and throughput of 0.027 W/m for rhombus topology and other performance parameters of the optical ring resonator using symmetrical rings. Such structure is small in the size and easy to fabricate. Even by the same number of rings using different topologies structure, we can vary the performance parameters as per the different applications.