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
Method of forming wafer level mold using glass fiber and wafer structure formed by the same
Terminal device and image printing method
System and method for combining different tablets into a pouch
Reducing energy and increasing speed by an instruction substituting subsequent instructions with specific function instruction
Methods and systems for flicker correction
Pattern forming method using developer containing organic solvent and rinsing solution for use in the pattern forming method
Creating and manufacturing documents that initially exceed equipment finishing capacity
  Randomly Featured Patents
Thread guide ring for a needle bar
Aggregate for concrete and concrete composition containing same
Stopper rod
Fusible interlining of a textile sheet and a heat-sealable film for washable garments
Hydraulic dual-circuit brake system
Method and apparatus for producing a surgical staple having two different inclined surfaces
Computer system sleep/awake circuit
Video camera which adopts a focal-plane electronic shutter system
Funnel assembly
Hand held remote control