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Method and apparatus for fractal computation

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06N-005/00
출원번호 US-0870946 (2001-06-01)
등록번호 US-7469237 (2008-12-23)
발명자 / 주소
  • Cooper,David L.
출원인 / 주소
  • Cooper,David L.
대리인 / 주소
    Greenberg Traurig LLP
인용정보 피인용 횟수 : 10  인용 특허 : 32

초록

Fractal computers are neural network architectures that exploit the characteristics of fractal attractors to perform general computation. This disclosure explains neural network implementations for each of the critical components of computation: composition, minimalization, and recursion. It then de

대표청구항

What is claimed is: 1. A computerized accelerated leaming method for image-based decision system applications such as machine vision, non-contact gauging, inspection, robot guidance, medical imaging o accelerate learning maturity and enhance learning outcome comprises the following steps: (a) input

이 특허에 인용된 특허 (32)

  1. Eberhardt Silvio P. (Pasadena CA), Analog hardware for learning neural networks.
  2. Barrett Terence W. (Vienna VA), Automata networks and methods for obtaining optimized dynamically reconfigurable computational architectures and control.
  3. Abe Yoshiharu,JPX, Boundary estimation method of speech recognition and speech recognition apparatus.
  4. Provence John D. (Mesquite TX), Digital adaptive receiver employing maximum-likelihood sequence estimation with neural networks.
  5. Howeth D. Franklin (233 Chuck Wagon Trail Forth Worth TX 76108), Drill cuttings conveying head with wet cuttings diverter.
  6. Klersy Patrick K. (Lake Orion MI) Strand David A. (Bloomfield Township ; Oakland County MI) Ovshinsky Stanford R. (Bloomfield Hills MI), Electrically erasable, directly overwritable, multibit single cell memory element and arrays fabricated therefrom.
  7. Hoffberg Steven Mark ; Hoffberg-Borghesani Linda Irene, Ergonomic man-machine interface incorporating adaptive pattern recognition based control system.
  8. Nelson Susan R. ; Tuovila Susan M., Fractal features used with nearest neighbor clustering for identifying clutter in sonar images.
  9. Tisdale William R. ; Sigler Charles E., Fraud detection and user validation system for mobile earth terminal communication device.
  10. Cooper Leon N. (Providence RI) Elbaum Charles (Providence RI), Information processing system.
  11. Pechanek Gerald G. (Endwell NY) Vassiliadis Stamatis (Vestal NY) Delgado-Frias Jose G. (Vestal NY), Learning machine synapse processor system apparatus.
  12. Grossberg Stephen (Newton Highlands MA) Kuperstein Michael (Brookline MA), Massively parellel real-time network architectures for robots capable of self-calibrating their operating parameters thr.
  13. Gulati Sandeep, Method and apparatus for interpreting hybridized bioelectronic DNA microarray patterns using self-scaling convergent reverberant dynamics.
  14. Cooper David L., Method and apparatus for neural networking using semantic attractor architecture.
  15. Barnsley Michael F. (Atlanta GA) Sloan Alan D. (Atlanta GA), Method and apparatus for processing digital data.
  16. McCormack Michael D. (Plano TX), Method for the automated editing of seismic traces using an adaptive network.
  17. Kostrzewski Andrew ; Ternovskiy Igor ; Jannson Tomasz P., Method of isomorphic singular manifold projection and still/video imagery compression.
  18. Barnsley Michael F. (Atlanta GA) Sloan Alan D. (Atlanta GA), Methods and apparatus for image compression by iterated function system.
  19. Castro Hernan A. (Shingle Springs CA), Neural network accomodating parallel synaptic weight adjustments for correlation learning algorithms.
  20. Loris Keith (Brooklyn NY) Euchner James (Bedford NY), Neural network model in pattern recognition using probabilistic contextual information.
  21. Colak Sel B.,NLX, Neural network using inhomogeneities in a medium as neurons and transmitting input signals in an unchannelled wave patte.
  22. Tawel Raoul (South Pasadena CA), Neural network with dynamically adaptable neurons.
  23. Bozich Daniel J. (San Diego CA) MacKay H. Bruce (San Diego CA) Eggert Jay A. (San Diego CA) Muenchau Ernest E. (Vista CA), Neurocontrolled adaptive process control system.
  24. Lo James T. (10210 Sunway Ter. Ellicott City MD 21042), Optimal filtering by recurrent neural networks.
  25. Martin Gale L. (Austin TX), Pattern recognition neural network.
  26. Parry Michael H. ; Aspnes Richard K., Self-organizing neural network for plain text categorization.
  27. Lewis Nathan S. (La Canada CA) Freund Michael S. (Allentown PA), Sensor arrays for detecting analytes in fluids.
  28. Kesselring Robert L. (422 Rustic Cir. Richardson TX 75080), Solitary wave circuit for neural network emulation.
  29. Gong Yifan, Source normalization training for HMM modeling of speech.
  30. Brown Peter Fitzhugh ; Cocke John ; Della Pietra Stephen Andrew ; Della Pietra Vincent Joseph ; Jelinek Frederick ; Lai Jennifer Ceil ; Mercer Robert Leroy, System for parametric text to text language translation.
  31. Schwallie Scott H. ; Holland Ronald R. ; Hoover Linn C., Toner container having a web seal.
  32. Harrison Richard P. (Lincoln Park MI) Scarpati Michael (Trenton MI) Narayan Thirumurti (Grosse Ile MI) Zagata Blair J. (Troy MI), Water-blown polyurethane integral skin foam.

이 특허를 인용한 특허 (10)

  1. Cantin, Jason F., Adaptive cataclysms in genetic algorithms.
  2. Cantin, Jason F., Adaptive cataclysms in genetic algorithms.
  3. Cantin, Jason F., Controlling quarantining and biasing in cataclysms for optimization simulations.
  4. Cantin, Jason F., Controlling quarantining and biasing in cataclysms for optimization simulations.
  5. Cantin, Jason F., Controlling quarantining and biasing in cataclysms for optimization simulations.
  6. Bell, Jr., Robert H.; Cantin, Jason F., Efficient storage of individuals for optimization simulation.
  7. Reinders, Robert R.; Romano, Christopher, Personalized memory compilation for members of a group and collaborative method to build a memory compilation.
  8. Cantin, Jason F., Speculative asynchronous sub-population evolutionary computing utilizing a termination speculation threshold.
  9. Cantin, Jason F., Using global and local catastrophes across sub-populations in parallel evolutionary computing.
  10. Cantin, Jason F., Using global and local catastrophes across sub-populations in parallel evolutionary computing.
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