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3.2.2 Neural Network Unfolding
ОглавлениеAn interesting, more insightful, representation of the FIR network is derived by using a concept known as unfolding in time. The general strategy is to remove all time delays by expanding the network into a larger equivalent static structure.
Figure 3.5 Finite impulse response (FIR) neuron and neural network.
Table 3.2 Finite impulse response (FIR) multi‐layer network notation.
Weight connecting neuron i in layer l − 1 to neuron j in layer l | |
Bias weight for neuron j in layer l | |
Summing junction or neuron j in layer l | |
Activation value for neuron j in layer l | |
Vector of delayed activation values | |
i‐th external input to network | |
i‐th output of network |
Figure 3.6 Finite impulse response (FIR) network unfolding.