This section lists a number of neural network and pattern recognition patents created outside the CNS Tech Lab which are based on ART or ARTMAP.
Categories |
Topics:
Machine Learning,
Models:
ART 2 / Fuzzy ART, |
Author(s) |
Owechko, Y. |
Srinivasan, N. |
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Abstract |
A boosting and pruning system and method for utilizing a plurality of neural networks, preferably those based on adaptive resonance theory (ART), in order to increase pattern classification accuracy is presented. The method ... |
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Categories |
Topics:
Image Analysis,
Machine Learning,
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Author(s) |
Kim, Y. |
Sun, S. |
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Abstract |
Pixel data forming an image is clustered into groups of data of similar color. Pixels of approximately the same color form one cluster. A vigilance parameter determines how many clusters are derived and how wide a range of ... |
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Categories |
Topics:
Machine Learning,
Applications:
Network Analysis,
Models:
Modified ART, |
Author(s) |
Barillaud, F. |
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Abstract |
To determine a network communications device type, (switch or router) without reference to internal information within the network communications device, two packets having preselected, differing sizes (e.g., 64 bytes and ... |
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Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
|
Author(s) |
Grichnik, A.J. |
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Abstract |
A component machine testing technique is provided that performs diagnostic analysis on a vibration signal of the component machine that has been separated from power and load machine background noise in a first neural ... |
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Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
Models:
ART 2 / Fuzzy ART, |
Author(s) |
Harrison, G.A. |
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Abstract |
A system and a method for tracking long term performance of a vibrating body such as a gas turbine, includes a vibration sensor who time domain outputs are transformed to the frequency domain, using a fast Fourier transform ... |
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Categories |
Topics:
Image Analysis,
Machine Learning,
Applications:
Industrial Control,
Models:
ART 1, |
Author(s) |
Caudell, T.P. |
Anderson, M. |
Escobedo, R. |
Smith, S.D.G. |
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Abstract |
We describe a neural information retrieval system (NIRS), now in production within the Boeing Company, which has been developed for the identification and retrieval of engineering designs. Two-dimensional and ... |
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Categories |
Topics:
Machine Learning,
Applications:
Industrial Control,
|
Author(s) |
Grassman, U. |
|
Abstract |
A monitoring of a vehicle interior is effected by detecting sound waves in a vehicle interior, either from an incursion source or as reflected as echo waves and decomposing the electrical signals representing those detected ... |
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Categories |
Topics:
Machine Learning,
Applications:
Network Analysis,
Models:
ART 1, |
Author(s) |
Barillaud, F. |
|
Abstract |
Bottleneck link speed, or the transmission speed of the slowest link within a path between two nodes, is determining by transmitting a sequence of ICMP ECHO data packets from the source node to the target node at a selected ... |
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Categories |
Topics:
Machine Learning,
Models:
ARTMAP,
Modified ART, |
Author(s) |
Huang, H.H. |
Knapp, G.M. |
Lin, S.S. |
Wang, H.P. |
|
Abstract |
The present invention provides a system and method for supervised training of a neural network. A neural network architecture and training method is disclosed that is a modification of an ARTMAP architecture. The modified ... |
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Categories |
Topics:
Machine Learning,
Applications:
Biological Classification,
Models:
ARTMAP, |
Author(s) |
Cohen, G.M. |
Ham, F.H. |
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Abstract |
The concentration of a substance, such as glucose, in a biological sample, such as human tissue (e.g. the skin of an index finger) is non-invasively determined by directing the output beam of a laser diode onto and into the ... |
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