Intelligent control with hierarchal stacked neural networks

Details Intelligent control with hierarchal stacked neural networks Intelligent control with hierarchal stacked neural networks

2006-12-18

2009-11-03

Vincent, David R (Department: 2129)

Data processing: artificial intelligence

Neural network

C700S028000, C600S545000

Reexamination Certificate

active

07613663

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, Nm, . . . , Nm+(O−1), where m denotes the stage/order tasks performed in the first neural network, Nm, and O denotes the highest stage/order tasks performed in the highest-level neural network. The type of processing actions performed in a network, Nm, corresponds to the complexity for stage/order m. Thus N1performs tasks at the level corresponding to stage/order 1. N5processes 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.

REFERENCES:
patent: 7024276 (2006-04-01), Ito
patent: 2004/0015906 (2004-01-01), Goraya
patent: 2004/0049124 (2004-03-01), Kullok et al.
patent: 2006/0155660 (2006-07-01), Koshizen et al.

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