# Finite impulse response neural networks with applications in time series prediction

@inproceedings{Wan1994FiniteIR, title={Finite impulse response neural networks with applications in time series prediction}, author={Eric A. Wan}, year={1994} }

Traditional feedforward neural networks are static structures which simply map input to output. Motivated from biological considerations, a dynamic network is proposed which uses Finite Impulse Response (FIR) linear filters to model the processes of axonal transport, synaptic modulation, and membrane charge dissipation. Effectively all weights in the static feedforward network are replaced by adaptive FIR filters.
A training algorithm based on gradient descent is derived for the FIR structure…

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