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PROCESSOR NODE, ARTIFICIAL NEURAL NETWORK AND METHOD OF OPERATION OF AN ARTIFICIAL NEURAL NETWORK

  • US 20120215728A1
  • Filed: 01/11/2012
  • Published: 08/23/2012
  • Est. Priority Date: 01/12/2011
  • Status: Active Grant
First Claim
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1. A temporal processor node for use as an input node in the input layer of a class network in an artificial neural network, the class network being operable to generate an output signal based on a network input vector component received by the input layer, the temporal processor node being operable to receive observation data representing the observed state of a monitored entity as a component of the network input vector, the temporal processor node comprising:

  • a memory module operable to store a most recently observed state of the monitored entity in the memory module as a current state;

    a modification module having a timer, the timer being operable to output a value representing time elapsed since observation of the current state, the modification module being operable to modify the current state with a modification factor dependent on the value output by the timer;

    whereinwhen triggered, the temporal processor node is operable to output the modified current state as a representation of the current state.

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