A Stochastic Study of the Fractional Order Model of Waste Plastic in Oceans

In this paper, a fractional order model based on the management of waste plastic in ocean (FO-MWPO) is numerically investigated. The mathematical form FO-MWPO categorized into three components, plastic, Marine debris, and recycling. stochastic numerical solvers using Levenberg-Marquardt backpropagation neural networks (LMQBP-NNs) have been applied to present solutions system. competency method tested by taking variants derivatives. data ratio provided for training, testing authorization 77%, 12%, 11% respectively. exactness LMQBP-NNs observed comparative performances obtained Adams-Bashforth-Moulton method. To verify competence, validity, capability, exactness, consistency LMQBP-NNs, regression, state transitions, error histograms, correlation mean square error.