Resources Contact Us Home
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
Taxi cab key chain
Carbonyl-ene functionalized polyolefins
Disk drive with a subset of sectors with reduced write-to-read gap
Push button
Combination of the application of antibodies for immunostimulation together with glucocorticoids
Rotating-body electrification mechanism, image carrier unit, process cartridge, image forming apparatus, and method for electrifying image carrier unit
Probe for ultrasound diagnostic apparatus
  Randomly Featured Patents
Pattern-forming method
Putter head
Vacuum processing method
Electrical load controller and vehicle air conditioner using the same
Shield between vehicle exhaust and passenger compartment
Utility vehicle with a rigid axle
Media and optical drive operating temperature control system and method
Hospital wrist band microchip attachment clasp
Rear axle suspension with reduced oversteer
Coffee bean roaster