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3.2.2 Neural Network Unfolding

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An 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.

Artificial Intelligence and Quantum Computing for Advanced Wireless Networks

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