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Method and apparatus for adaptive classification 원문보기

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06F-015/18
출원번호 US-0042232 (1993-04-01)
발명자 / 주소
  • Glier Michael T. (Chepachet RI) Nunez Linda I. Mensinger (North Kingstown RI) Scofield Christopher L. (Providence RI)
출원인 / 주소
  • Nestor, Inc. (Providence RI 02)
인용정보 피인용 횟수 : 42  인용 특허 : 0

초록

A neural network and method for pipeline operation within a neural network which permits rapid classification of input vectors provided thereto is disclosed. In a training mode, a plurality of training input features are presented to the neural network and distances between the plurality of training

대표청구항

A method of training a neural network having an input layer, a middle layer and an output layer, comprising the steps of: (a) presenting an input vector having a plurality of training features to the neural network; (b) computing distances between a plurality of said training features and a pluralit

이 특허를 인용한 특허 (42)

  1. Cheng, Ken P.; Chang, Edward Y.; Wang, Yuan-Fang, Adaptive multi-modal integrated biometric identification and surveillance systems.
  2. Cheng, Ken P.; Chang, Edward Y.; Wang, Yuan-Fang, Adaptive multi-modal integrated biometric identification detection and surveillance systems.
  3. Malaney, Sanjeev; Kulkarni, Parag; Viswanathan, Krishnaswami; Malaney, Vikram, Business method using the automated processing of paper and unstructured electronic documents.
  4. Boulet Jean-Yves,FRX ; Tannhof Pascal,FRX ; Paillet Guy,FRX, Circuit for searching/sorting data in neural networks.
  5. Lo,James Ting Ho, Convexification method of training neural networks and estimating regression models.
  6. Kirchberg Karl-Heinz,DEX, Device for designing a neural network and neural network.
  7. Wang,Yuan Fang, Incremental data fusion and decision making system and associated method.
  8. Herzog, James P., Kernel-based method for detecting boiler tube leaks.
  9. Lewis, Michael; King, Frank; Arnold, Thomas; Wright, William; Pettit, John, Method and apparatus for evaluating fraud risk in an electronic commerce transaction.
  10. Lewis,Michael; King,Frank; Arnold,Thomas; Wright,William; Pettit,John, Method and apparatus for evaluating fraud risk in an electronic commerce transaction.
  11. Wright, William; Hu, Hung-Tzaw, Method and apparatus for evaluating fraud risk in an electronic commerce transaction.
  12. Wright, William; Hu, Hung-Tzaw, Method and apparatus for evaluating fraud risk in an electronic commerce transaction.
  13. Lewis, Michael; King, Frank; Arnold, Thomas; Wright, William; Pettit, John, Method and apparatus for generating a bi-gram score in fraud risk analysis.
  14. Gary Howard GB, Method and apparatus for inducing rules from data classifiers.
  15. Howard, Gary; Barson, Paul Colin; Field, Simon; Hobson, Philip William, Method and apparatus for interpreting information.
  16. Pettitt,John Philip, Method and system for detecting fraud in a credit card transaction over a computer network.
  17. Pettitt, John Philip, Method and system for detecting fraud in a credit card transaction over the internet.
  18. Ioli, Edward D., Method of processing a transaction for a parking session.
  19. Herzog, James P., Method of sequential kernel regression modeling for forecasting and prognostics.
  20. Herzog, James P., Monitoring method using kernel regression modeling with pattern sequences.
  21. Herzog, James P., Monitoring system using kernel regression modeling with pattern sequences.
  22. Chin, Hu; Cheng, Ken Prayoon, Multi-video navigation.
  23. Chin, Hu; Cheng, Ken Prayoon, Multi-video navigation system.
  24. Yoshifusa Wada JP, Multi-winners feedforward neural network.
  25. Thomas M. Jorgensen DK; Christian Linneberg DK, N-tuple or RAM based neural network classification system and method.
  26. Eccles Nicholas J. (Edinburgh GB6), Neural network for banknote recognition and authentication.
  27. Mott, Jack E., Non-parametric modeling apparatus and method for classification, especially of activity state.
  28. Allen, Vance; Dobrin, Jon M., On-line educational system having an electronic notebook feature.
  29. McBride, Chad B., Pipelined hardware implementation of a neural network circuit.
  30. Pipke, Robert Matthew, Residual based monitoring of human health.
  31. Pipke, Robert Matthew, Residual-based monitoring of human health.
  32. Pipke, Robert Matthew, Residual-based monitoring of human health.
  33. Hines, J. Wesley, Robust distance measures for on-line monitoring.
  34. Wagman, Adam H., System and method for in-line inspection of stencil aperture blockage.
  35. Kohn, Wolf; Zabinsky, Zelda B.; Nanda, Rekha; Shen, Yanfang; Ehrenberg, Michael, System forecasting and improvement using mean field.
  36. Herzog, James P., System of sequential kernel regression modeling for forecasting and prognostics.
  37. Malaney, Sanjeev; Kulkami, Parag; Viswanathan, Krishnwami; Malaney, Vikram; Evans, Jeffrey, Systems and methods for intelligent paperless document management.
  38. Maughan, Benjamin; Manasse, Jason, Systems and methods for providing automatic content recognition to verify affiliate programming.
  39. Sanda, Joel M., Variable types of sensory interaction for an on-line educational system.
  40. Ioli, Edward D., Vehicle identification, tracking and enforcement system.
  41. Ioli, Edward D., Vehicle identification, tracking and enforcement system.
  42. Ioli, Edward D., Vehicle identification, tracking and parking enforcement system.
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