Tech Transfer Patents


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.


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Classification method and apparatus based on boosting and pruning of multiple classifiers (2002)
Categories Topics: Machine Learning, Models: ART 2 / Fuzzy ART,
Author(s) Owechko, Y. | Srinivasan, N. |
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 ...

Color clustering for scene change detection and object tracking in video sequences (2001)
Categories Topics: Image Analysis, Machine Learning,
Author(s) Kim, Y. | Sun, S. |
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 ...

Use of adaptive resonance theory to differentiate network device types (routers vs switches) (1999)
Categories Topics: Machine Learning, Applications: Network Analysis, Models: Modified ART,
Author(s) Barillaud, F. |
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 ...

Component machine testing using neural network processed vibration data analysis (1998)
Categories Topics: Machine Learning, Applications: Industrial Control,
Author(s) Grichnik, A.J. |
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 ...

Neural network based analysis system for vibration analysis and condition monitoring (1998)
Categories Topics: Machine Learning, Applications: Industrial Control, Models: ART 2 / Fuzzy ART,
Author(s) Harrison, G.A. |
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 ...

A deployed engineering design retrieval system using neural networks (1997)
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. |
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 ...

Process and apparatus for monitoring a vehicle interior (1997)
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 ...

Use of adaptive resonance theory (ART) neural networks to compute bottleneck link speed in heterogeneous networking environments (1997)
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 ...

Supervised training of a neural network (1996)
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 ...

Determination of concentrations of biological substances using raman spectroscopy and artificial neural networks discriminator (1996)
Categories Topics: Machine Learning, Applications: Biological Classification, Models: ARTMAP,
Author(s) Cohen, G.M. | Ham, F.H. |
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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