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This excerpt from Pulsed Neural Networks. Wolfgang Mass and Christopher M. Bishop, editors. 1998 The MIT Press. Is provided in screen viewable form for personal use only by members of MIT Cornet.
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Pulsed neural networks are a type of artificial neural network inspired by the behavior of neurons in the brain.
Researchers and developers working in the field of artificial intelligence may be required to file pulsed neural networks for their projects.
Pulsed neural networks can be filled out by providing information about the network architecture, training data, and any specific parameters or settings.
The purpose of pulsed neural networks is to model complex relationships in data and perform tasks such as classification, prediction, and pattern recognition.
Information such as the network structure, activation functions, training algorithms, and performance metrics may need to be reported on pulsed neural networks.
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