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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.
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 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.
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The difference is an error value which is decreased during the training by modifying the weight values of the connections.
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.
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.
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.
Finally, the test can easily be extended to more than one subject of the experimental arm in each stratum, modifying the weighting scheme of the Kaplan-Meier estimator of survival.
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