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
Processing data using information embedded in a data request
Method of allocating IP address of image forming apparatus using DHCP, image forming apparatus and system of allocating IP address using DHCP
Method and system for dynamic digital rights bundling
Communication system including a switching section for switching a network route, controlling method and storage medium
Apparatus and method for storing event information for an HVAC system
Video conference
Sampling filter device
  Randomly Featured Patents
Polymerization of a sticky polymer in the presence of a treated carbon black
Boat bow wheel accessory for single handed transport to a launching site
Plant culture system
Cable assembly with locking member
Device for joining tubes or bars
Method and apparatus for flexible pilot pattern
Fused short circuit and grounding switch
Variable shape guide apparatus
Tire composition with improved vulcanizing agent
Liquid-crystalline medium