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    Computational Stochastic Investigations for the Socio-Ecological Dynamics with Reef Ecosystems

    Thongchai Botmart1, Zulqurnain Sabir2,3, Afaf S. Alwabli4, Salem Ben Said2, Qasem Al-Mdallal2, Maria Emilia Camargo5, Wajaree Weera1,*

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5589-5607, 2022, DOI:10.32604/cmc.2022.032087

    Abstract The motive of this work is to present a computational design using the stochastic scaled conjugate gradient (SCG) neural networks (NNs) called as SCGNNs for the socio-ecological dynamics (SED) with reef ecosystems and conservation estimation. The mathematical descriptions of the SED model are provided that is dependent upon five categories, macroalgae M(v), breathing coral C(v), algal turf T(v), the density of parrotfish P(v) and the opinion of human opinion X(v). The stochastic SCGNNs process is applied to formulate the SED model based on the sample statistics, testing, accreditation and training. Three different variations of the SED have been provided to… More >

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