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Paper proposes a gradient-based back propagation neural network approach to improve optimization in stock price predictions. The use of gradient descent in BPNN method aims to determine the parameter of learning rate, training cycle adaptively so as ...
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After the successful registration of the cloud user with the Cloud Server, the authentication process is executed using a Stochastic Nesterov Gradient Piecewise Deep Belief Network model, which distinguishes between authorized and unauthorized users with the greatest accuracy and least time. Gestalt ...
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A graphical statistical model represented by a directed acyclic graph (DAG), such as a Bayesian network, can also be applied to represent and provide predictions relating to a time series. The stochastic ARMAxp time series models are based on the well-known autoregressive, moving average (ARMA)...