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The Rao-Blackwellization requires to update backward in time the smoothing distribution of the states given the regimes and the observations, which is achieved by using an à la Kalman backward update.
In PN Message memory each FU only needs to store the message which is passed during the backward update of CNs [14].
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Our method applies relatively higher weights on the gradient descent values of these high-frequency regions' pixels before they are propagated backward to update the parameters of the network during training.
Moreover, by using a distance-sensitive backward pheromone updating scheme, the performance of ACO-DP is also improved.
The Kalman smoother is a backward recursive updating scheme that updates the state model conditional on all data.
Backward-update equations are.
(i) Backward-update equations are (11) .
Thus, training process is a path from input layer to output layer to calculate an output, obtaining the error and a backward path to update the weights [30].
The hybrid learning algorithm of the modified ANFIS comprises two steps, i.e. forward pass by using fuzzy inference mechanism based on the neural architecture and Least-squares Estimator (LSE), and backward pass to update the premise parameters by the error a modified backpropagation algorithm.
In addition, while backward-looking updating processes have been observed to disruptions following a narrative constituent break, a different ERP effect an anterior negativity (left lateralized and right prefrontal)—contrasts disruptions that precede the boundary between constituents (Cohn et al., 2014).
The backward recursive update equations for the EKS start with initialization at time such as (10).
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