Resources Contact Us Home
Browse by: INVENTOR PATENT HOLDER PATENT NUMBER DATE
 
 
Recurrent neural networks teaching system










Image Number 7 for United States Patent #5182794.

A teaching method for a recurrent neural network having hidden, output and input neurons calculates weighting errors over a limited number of propagations of the network. This process permits the use of conventional teaching sets, such as are used with feedforward networks, to be used with recurrent networks. The teaching outputs are substituted for the computed activations of the output neurons in the forward propagation and error correction stages. Back propagated error from the last propagation is assumed to be zero for the hidden neurons. A method of reducing drift of the network with respect to a modeled process is also described and a forced cycling method to eliminate the time lag between network input and output.








 
 
  Recently Added Patents
Semiconductor memory device and method for driving the same
Scanning of a touch screen
Method and apparatus for displaying system status with a wide range of viewing angle
Faucet
HSP20 inhibits amyloidogenesis and neurotoxicity
Methods for measuring media performance associated with adjacent track interference
Method and apparatus for exercise monitoring combining exercise monitoring and visual data with wireless internet connectivity
  Randomly Featured Patents
Spindle assembly
Stapler cover
Automatic interactive conference arrangement
Elevator hoist unit
Insulating structure
Rethermalizer with expansible rack
.alpha.-Acyl derivatives of digitoxin
Recombinant negative strand RNA virus expression systems and vaccines
Test structure and method for yield improvement of double poly bipolar device
Fuel rod shipping cask having peripheral fins