Sentence examples for by the training algorithm from inspiring English sources
The weights (V_j), (W_{ij}) and normalization factor (sigma _j^2) are updated by the training algorithm as follows: Open image in new window Fig. 1 Framework of the training algorithm of our proposed FRBF Network.
However, using STMs, we also find that descriptors of higher scale were selected by the training algorithms.
The frames of each sequence carry an importance weight, computed via (18), which is factored into the training algorithm by incorporating it in the posterior probability of the model given the data and time, which, if we assume independence of and, can be written as (19).
The training algorithm is mostly defined by the learning rule, that is, the weights update in each training epoch.
Section "Convolutional neural networks" explains the architecture of CNN followed by the proposed training algorithm for the CNN architecture.
Moreover, (Andronescu et al., 2010a) have reported that HotKnots employing new energy parameters estimated by these training algorithms yields better prediction accuracy on pseudoknotted structural data as compared with the earlier version of HotKnots.
The regression is done by NN training algorithm and the NNs resulted from the training are used as the transformation function G. Thus, the NNs are the functions for mapping the reverberant feature vectors Y to the anechoic feature vector S. We use cascade NNs trained using the Cascade2 algorithm.
This is much lower than the time of 1.438 needed by the BP trained algorithm.
The hybrid training algorithm is combined with the improved particle swarm optimization and BP algorithm, while the improved PSO-BP ANN model is developed and trained by the hybrid algorithm based on improved PSO and BP algorithm.
The reference patterns are chosen by a complex training algorithm implemented on an FPGA device.
Accuracies can be improved by using different models for different parts of the test set, built on the basis of a subset of individuals that are chosen from the candidate set by the training population design algorithm.
