Neuron Model
A linear neuron with R inputs is shown below.
This network has the same basic structure as the perceptron. The only difference is that the linear neuron uses a linear transfer function purelin.
The linear transfer function calculates the neuron's output by simply returning the value passed to it.
This neuron can be trained to learn an affine function of its inputs, or to find a linear approximation to a nonlinear function. A linear network cannot, of course, be made to perform a nonlinear computation.
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