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
Liquid crystal display
Recombinant vectors for use in position-independent transgene expression within chromatin
Modular utility rack
Device to control force required to depress accelerator pedal
Optical writer and image forming apparatus including same
Systems and methods for image stream processing
Collaborative data redundancy for configuration tracking systems
  Randomly Featured Patents
Warning apparatus for a motor vehicle
Method for producing variously sized paper logs
High temperature method of making elastomeric materials and materials obtained thereby
Apparatus and method for extracting crustacean meat
Device and method for measuring argon impurity by utilizing the triple point and the .gamma.-.beta. transition temperatures of oxygen
Digital voltage regulator
Truck tractor
Atomic hydrogen storage method and apparatus
Flexible standing ring for hot-fill container
Wall light fixture