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  NeuroSolutions NeuroSolutions
v2.15NeuroSolutions
for ExcelCustom Solution
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After
training a neural network, you may want to know the
effect that each of the network inputs is having on the
network output. The sensitivity analysis feature of
NeuroSolutions can be used to perform this function. Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. The basic idea is that each input channel to the network is offset slightly and the corresponding change in the output(s) is reported. The input channels that produce low sensitivity values can be considered insignificant and can most often be removed from the network. This will reduce the size of the network, which in turn reduces the complexity and the training time. Furthermore, this may also improve the network performance. |
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