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Adjustment of weighting factors in calculating the Mahalanobis distance.
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Adjustment of weight estimation based on a "guess".
Feed-forward of the input training pattern, Calculation and back-propagation of the error, Adjustment of weights.
Back-propagation technique was employed in the training process, and adjustment of weights was made within the neuron layers.
The training process includes 3 stages: (1) Feed-forward of the input training pattern, (2) Calculation and back-propagation of the error, (3) Adjustment of weights. .
The adjustment of weight uses the learning algorithm of counter propagation (Wang et al. 2000), the transformation function of neuron is the S-pattern function f(x)=frac{1}{1+{e}^{-x}} (8).
The outputs (predicted concentrations) are compared with targets (actual concentrations) and the difference between them is called the error which is back propagated (and so called feed-forward ANN with the back propagation of errors learning algorithm) to network once more to be minimized through further adjustment of weights.
This was also the case after adjustment of weight gain for initial lung weight.
Data relating to height, sex, and age were entered manually while weight was recorded automatically using 0.5 kg as an adjustment of weight for clothes in all subjects.
These differences suggest that homology detection in all α, all β and α+β classes may benefit from individualized adjustment of weights in the scoring function.
According to the selection and adjustment of the weighting factor of this objective function, we reveal how to design a model with sound approximation and generalization abilities.
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