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A dataset is constructed by applying the explicit Runge\u2013Kutta to lessen the mean square error by using the data performance, which is divided into training 78%, testing 12%, and validation 10%. The stochastic neural network process is based on two hidden layers, radial basis activation function, 20 and 42 numbers of neurons, and feed forward neural network for solving the BC model. 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