FIR Filter Design using Artificial Neural Network
Abstract
In this paper design a low pass FIR filter by artificial neural network. For this kind of application, a different type of model is used in ANN. In this work, MLP Back propagation algorithm is used to train the Neural Network. MLP network is very effective method for filter designing process. We also compare the result of this method and the normal mathematical method.
Keywords: Neural network, MLP back propagation, fda tool, nntool
DOI: https://doi.org/10.37591/rrjon.v3i3.953
Refbacks
- There are currently no refbacks.
Copyright (c) 2019 Research & Reviews: Journal of Neuroscience
This Journal archive has been shifted to: https://journals.stmjournals.com/archive/rrjons/


