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Computing the output weight matrix .
Different from MCVELM, the output weight norm is minimized directly.
Then, an effective classification surface is needed, which depends on output weight adjustment.
Table 14 illustrates the name and value of Fuzzy input and output weight of each aspect for supplier "F".
All of the algorithms for training SLFNs consist of two stages: (1) suitable feature mapping and (2) output weight adjustment.
Step two: Calculate the hidden layer output matrix H. Step three: Calculate the output weight matrix β.
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4 On testing, the gating output weights each expert's output and fused both weighted outputs.
RSCNs are built on original stochastic configuration networks with weighted least squares method for evaluating the output weights, and the input weights and biases are incrementally and randomly generated by satisfying with a set of inequality constrains.
CIS iteratively optimizes a grouping of vertexes in a weighted graph, using a density metric computed based on the input and output weights of a candidate cluster.
where W- the output weights of RBF.
Adaptation of the output weights are designed.
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