Abstract:In this paper, we will use an artificial neural network (ANN) to solve the variable order fractional integro-differential algebraic equations (VFIDAEs), which is a three-layer feed-forward neural architecture that is formed and trained using a back propagation unsupervised learning algorithm based on the gradient descent rule for minimizing the error function and parameter modification (weights and biases).When we combine the initial conditions with the ANN output, we get … Show more
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