Methods of improved learning in simultaneous recurrent neural networks
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United States of America Patent
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Issued Date -
Dec 3, 2009
app pub date -
May 30, 2008
filing date -
May 30, 2008
priority date (Note) -
Abandoned
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Abstract
Methods, computer-readable media, and systems are provided for machine learning in a simultaneous recurrent neural network. One embodiment of the invention provides a method including initializing one or more weight in the network, initializing parameters of an extended Kalman filter, setting a Jacobian matrix to an empty matrix, augmenting the Jacobian matrix for each of a plurality of training patterns, adjusting the one or more weights using the extended Kalman filter formulas, and calculating a network output for one or more testing patterns.
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