Sentence examples for modifying the weight from inspiring English sources
Temporal weighting methods are based upon a spatio-temporal function modifying the weight on data with respect to the time at which they have been sampled.
The difference is an error value which is decreased during the training by modifying the weight values of the connections.
To solve this problem, we use an adaptive approach to construct the observation variance σ a 2 and σ m 2 for the sake of modifying the weight of measurement values in a real-time manner.
If adjustments have to be made in immigration policy (e.g., modifying the weight of certain factors in the point system), this can be done through the minister of immigration and does not need parliamentary approval.
We present a neuromorphic spiking neural network, the DELTRON, that can remember and store patterns by changing the delays of every connection as opposed to modifying the weights.
Finally, as a result of a sensitivity analysis, it has been possible to state some useful criteria for the trapezoidal steel roofing sheets design by modifying the weights of the proposed optimization objectives.
Modifying the weights for all neurons in the network changes the output.
In a second step, we scrutinize the ranking more closely by modifying the weights of all journal categories instead of those of just one or two.
Table 5 Relationships between design methods and weighting matrix ({boldsymbol {hat {W}}}), for α >1 Method I Method II Method III Method IV Method V ({boldsymbol {{hat {W}}}}_{L}) I 0 I I I ({boldsymbol {{hat {W}}}}_{N}) I I 0 I α I ({boldsymbol {{hat {W}}}}_{R}) 0 I I I I. Thus, the incorporation of new design constraints can be easily achieved by modifying the weighting matrix of Equation 28.
Modifying the weights associated to the different objectives leads the algorithm towards different kind of biclusters, according to their sizes, overlapping amount or gene variance.
Training a MLP is essentially the process of modifying the weights and biases of the network in order to minimize this cost function.
