MICHAEL L COMMONS
Psychologist in Cambridge, MA
License number
Massachusetts 3395
Issued Date
Dec 2, 1983
Expiration Date
Jun 30, 2018
Type
Psychologist
Address
Address
Cambridge, MA 02138
Professional information
Intelligent Control With Hierarchal Stacked Neural Networks
US Patent:
7613663, Nov 3, 2009
Filed:
Dec 18, 2006
Appl. No.:
11/612268
Inventors:
Michael Lamport Commons - Cambridge MA, US
Mitzi Sturgeon White - Watertown MA, US
Mitzi Sturgeon White - Watertown MA, US
International Classification:
G06E 1/00, G06E 3/00
US Classification:
706 15, 700 28, 600545
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,. . . , N, where m denotes the stage/order tasks performed in the first neural network, N, 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, corresponds to the complexity for stage/order m. Thus Nperforms tasks at the level corresponding to stage/order 1. Nprocesses 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.
Intelligent Control With Hierarchical Stacked Neural Networks
US Patent:
7152051, Dec 19, 2006
Filed:
Sep 30, 2002
Appl. No.:
10/261560
Inventors:
Michael Lamport Commons - Cambridge MA, US
Mitzi Sturgeon White - Watertown MA, US
Mitzi Sturgeon White - Watertown MA, US
International Classification:
G06F 15/18
US Classification:
706 16, 706 20
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,. . . , N, where m denotes the stage/order tasks performed in the first neural network, N, 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, corresponds to the complexity for stage/order m. Thus Nperforms tasks at the level corresponding to stage/order 1. Nprocesses 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.