BRNNBranch Network Node
BRNNBi-Directional Recurrent Neural Networks
References in periodicals archive ?
The improved DBSCAN and BRNN are realized with MATLAB system software system.
Table 4 summarizes the results for training different BRNN of three layers.
Finally, the results of the proposed fault diagnosis model based on BRNN are compared with those of BPNN, RBF and GRNN, as shown in Table 5.
According to the comparison, the fault diagnosis model based on BRNN spends less time owing to the less hidden layer neurons while the model based on RBF or GRNN contains 56 hidden layer neurons.