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Intelligent control with hierarchical stacked neural networks
   
Document Number
US Patent 7152051
Issued Date
December 19, 2006
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Abstract
An intelligent control system based on an explicit model of cognitive development (Table 1) performs high-level functions. It comprises up to O hierarchically stacked neural networks, N.sub.m, . . . , N.sub.m+(O-1), where m denotes the stage/order tasks performed in the first neural network, N.sub.m, and O denotes the highest stage/order tasks performed in the highest-level neural network. The type of processing actions performed in a network, N.sub.m, corresponds to the complexity for stage/order m. Thus N.sub.1 performs tasks at the level corresponding to stage/order 1. N.sub.5 processes information at the level corresponding to stage/order 5. Stacked neural networks begin and end at any stage/order, but information must be processed by each stage in ascending order sequence. Stages/orders cannot be skipped. Each neural network in a stack may use different architectures, interconnections, algorithms, and training methods, depending on the stage/order of the neural network and the type of intelligent control system implemented.
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Number of Claims:
20
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Published
December 19, 2006
Application Number
10/261,560
Filed
September 30, 2002
US Classification
706/16   706/20
Int'l Classification
G06F   15/18   (20060101)  
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USPTO Field of Search
706/16   706/20  
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