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Neural network with semi-localized non-linear mapping of the input space 원문보기

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06F-015/18
출원번호 US-0538833 (1990-06-15)
발명자 / 주소
  • Keeler James D. (Austin TX) Hartman Eric J. (Austin TX)
출원인 / 주소
  • Microelectronics and Computer Technology Corporation (Austin TX 02)
인용정보 피인용 횟수 : 55  인용 특허 : 0

초록

A neural network includes an input layer comprising a plurality of input units (24) interconnected to a hidden layer with a plurality of hidden units (26) disposed therein through an interconnection matrix (28). Each of the hidden units (26) is a single output that is connected to output units (32)

대표청구항

A neural network for effecting non-linear mapping of an input space, comprising: an input layer for receiving a multi-dimensional input vector xi, for i ranging from 1 to n, n being an integer; a hidden layer, having m hidden units, m being an integer, each of said hidden units receiving a plurality

이 특허를 인용한 특허 (55)

  1. Johnson, Eric Norman; Calise, Anthony J., Adaptive control system having hedge unit and related apparatus and methods.
  2. Johnson,Eric Norman; Calise,Anthony J., Adaptive control system having hedge unit and related apparatus and methods.
  3. Meng,Zhuo; Duan,Baofu; Pao,Yoh Han, Adaptive learning enhancement to automated model maintenance.
  4. Wegerich,Stephan W.; Bell,David R.; Xu,Xiao, Adaptive modeling of changed states in predictive condition monitoring.
  5. Duong, Tuan A., Artificial neural network with hardware training and hardware refresh.
  6. Meng,Zhuo; Pao,Yoh Han; Duan,Baofu, Automatic model maintenance through local nets.
  7. Meng,Zhuo; Pao,Yoh Han, Automatic neural-net model generation and maintenance.
  8. Wegerich, Stephan W., Complex signal decomposition and modeling.
  9. Wegerich, Stephan W., Complex signal decomposition and modeling.
  10. Wegerich,Stephan W., Complex signal decomposition and modeling.
  11. Lo,James Ting Ho, Convexification method of training neural networks and estimating regression models.
  12. Wegerich, Stephan W.; Wolosewicz, Andre; Pipke, R. Matthew, Diagnostic systems and methods for predictive condition monitoring.
  13. Alkon Daniel L. (Bethesda MD) Vogl Thomas P. (Bethesda MD) Blackwell Kim T. (Wheaton MD) Barbour Garth S. (Laurel MD), Dynamically stable associative learning neural network system.
  14. Mandel Stephen ; Sobel Richard A., Emission monitoring system.
  15. Wegerich, Stephan W.; Pipke, R. Matthew; Wolosewicz, Andre, Generalized lensing angular similarity operator.
  16. Duan,Baofu; Meng,Zhuo; Pao,Yoh Han, Hierarchical determination of feature relevancy.
  17. Herzog, James P., Kernel-based method for detecting boiler tube leaks.
  18. Avery, Larry, Knowledge extraction and prediction.
  19. Chapman David ; Critchlow Roger ; Dietterich Thomas Glen ; Jain Ajay N. ; Lathrop Richard H. ; Lozano-Perez Tomas, Machine-learning approach to modeling biological activity for molecular design and to modeling other characteristics.
  20. Watari Masao (Ibaragi JPX) Ishii Kazuo (Kanagawa JPX) Kato Yasuhiko (Kanagawa JPX) Ogawa Hiroaki (Kanagawa JPX) Omote Masanori (Kanagawa JPX) Watanabe Kazuo (Tokyo JPX) Minamino Katsuki (Tokyo JPX), Map determination method and apparatus.
  21. Keeler James David ; Hartman Eric Jon, Method and apparatus for analyzing a neural network within desired operating parameter constraints.
  22. Keeler James David ; Hartman Eric J. ; Liano Kadir, Method and apparatus for determining the sensitivity of inputs to a neural network on output parameters.
  23. Keeler James David ; Hartman Eric Jon ; Liano Kadir, Method and apparatus for determining the sensitivity of inputs to a neural network on output parameters.
  24. Huddleston, David Eugene; Pao, Yoh Han; Cass, Ronald; Yang, Qian; Polyak, Ella; Cryer, Peter; Garofalo, Charles Edward, Method and apparatus for discovering evolutionary changes within a system.
  25. Keeler, James David; Hartman, Eric Jon; Ferguson, Ralph Bruce, Method and apparatus for operating a neural network with missing and/or incomplete data.
  26. Keeler, James David; Hartman, Eric Jon; Ferguson, Ralph Bruce, Method and apparatus for operating a neural network with missing and/or incomplete data.
  27. Swanson, Brian G., Method for generating a model representative of a process.
  28. Keeler James David ; Hartman Eric Jon ; Ferguson Ralph Bruce, Method for operating a neural network with missing and/or incomplete data.
  29. Keeler James David ; Hartman Eric Jon ; Ferguson Ralph Bruce, Method for operating a neural network with missing and/or incomplete data.
  30. Keeler James David ; Hartman Eric Jon ; Ferguson Ralph Bruce, Method for training and/or testing a neural network with missing and/or incomplete data.
  31. Jannarone Robert J., Multi-kernel neural network concurrent learning, monitoring, and forecasting system.
  32. Jannarone, Robert J., Multi-kernel neural network concurrent learning, monitoring, and forecasting system.
  33. John James Soraghan GB; Amir Hussain GB, Neural network for predicting values in non-linear functional mappings.
  34. Mott, Jack E., Non-parametric modeling apparatus and method for classification, especially of activity state.
  35. Duvoisin ; III Herbert ; Beck Hal E. ; Brown Joe R. ; Bower Mark, Perceptive system including a neural network.
  36. Swanson,Brian G., Predictive emissions monitoring method.
  37. Swanson, Brian G., Predictive emissions monitoring using a statistical hybrid model.
  38. Meng, Zhuo; Duan, Baofu; Pao, Yoh-Han; Cass, Ronald J, Processing mixed numeric and symbolic data encodings using scaling at one distance of at least one dimension, clustering, and a signpost transformation.
  39. James David Keeler ; Eric Jon Hartman ; Kadir Liano ; Ralph Bruce Ferguson, Residual activation neural network.
  40. Keeler James David ; Hartman Eric Jon ; Liano Kadir ; Ferguson Ralph Bruce, Residual activation neural network.
  41. Keeler,James David; Hartman,Eric Jon; Liano,Kadir; Ferguson,Ralph Bruce, Residual activation neural network.
  42. Pipke, Robert Matthew, Residual based monitoring of human health.
  43. Wegerich, Stephan W.; Pipke, Robert Matthew, Residual signal alert generation for condition monitoring using approximated SPRT distribution.
  44. Pipke, Robert Matthew, Residual-based monitoring of human health.
  45. Pipke, Robert Matthew, Residual-based monitoring of human health.
  46. Hines, J. Wesley, Robust distance measures for on-line monitoring.
  47. Starzyk,Janusz A., Self-organizing data driven learning hardware with local interconnections.
  48. Wegerich, Stephan W.; Wilks, Alan D.; Nelligan, John D., Signal differentiation system using improved non-linear operator.
  49. Calise Anthony J. ; Kim Byoung-Soo,KRX, System and method for adaptive control of uncertain nonlinear processes.
  50. Calise,Anthony J.; Kim,Byoung Soo, System and method for adaptive control of uncertain nonlinear processes.
  51. Corban,J. Eric, System and method for adaptive control of uncertain nonlinear processes.
  52. Carmichael, Craig; Venkataraman, Sashikumar, Systems and methods for improving accuracy in media asset recommendation models based on users' levels of enjoyment with respect to media assets.
  53. Yang,Qian; Garofalo,Charles; Gupta,Yogesh; Cass,Ronald; Wilson,Kirk; Sedukhin,Igor, Using neural networks for data mining.
  54. Pao, Yoh-Han; Meng, Zhuo; Duan, Baofu, Viewing multi-dimensional data through hierarchical visualization.
  55. Pao, Yoh-Han; Meng, Zhuo, Visualization and self-organization of multidimensional data through equalized orthogonal mapping.
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