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Practice 3 NN - Backpropagation Algorithm For Approximation by ramcost.901 is a document available to read on EtoBox.
This document details a study on using a neural network trained with the backpropagation algorithm to approximate a real electrocardiogram (ECG) signal, focusing on a single cardiac cycle. The implementation involved normalizing ECG data and constructing a feedforward neural network with two hidden layers, achieving satisfactory results after 1,000,000 training epochs. The study concludes that the network effectively replicated the ECG waveform, highlighting the importance of persistent training and suggest
- Author
- ramcost.901
- Language
- EN