Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2005-08-29
2010-02-23
Vincent, David R (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
C706S025000, C707S793000, C707S793000
Reexamination Certificate
active
07668795
ABSTRACT:
A data analyzer stores data values at any one of N stages while associating the data values with a plurality of data elements respectively and stores association weighting information among the data elements, selects one of the data elements as a target data at random and computes an input stimulus value concerned with the target data on the basis of the association weighting information between the target data and the other data elements and the data values of the other data elements, and updates the data value of the target data on the basis of the computed input stimulus value in such a manner that a threshold decided in accordance with a current data value associated with the target data and varying according to each data value is compared with the input stimulus value to determine whether the data value needs to be changed or not, and that the data value is updated when a decision is made that the data value needs to be changed.
REFERENCES:
patent: 5195170 (1993-03-01), Eberhardt
patent: 5486996 (1996-01-01), Samad et al.
patent: 5634087 (1997-05-01), Mammone et al.
patent: 5845285 (1998-12-01), Klein
patent: 6353444 (2002-03-01), Katta et al.
patent: 6453315 (2002-09-01), Weissman et al.
patent: 6910025 (2005-06-01), Cao
patent: 7051029 (2006-05-01), Fayyad et al.
patent: 7089218 (2006-08-01), Visel
patent: 2002/0138455 (2002-09-01), Abdel-Moneim et al.
patent: 2003/0140020 (2003-07-01), Chen et al.
patent: 2004/0058301 (2004-03-01), Glenberg et al.
The convergence and parameter relationship for discrete-time continuous-state Hopfield networks Feng, G.; Douligeris, C.; Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on vol. 1, Jul. 15-19, 2001 pp. 376-381 vol. 1 Digital Object Identifier 10.1109/IJCNN.2001.939049.
Hysteresis compensation for giant magnetostrictive actuators using dynamic recurrent neural network, Shuying Cao; Boweng Wang; Jiaju Zheng; Wenmei Huang; Ling Weng; Weili Yan; Magnetics, IEEE Transactions on vol. 42, Issue 4, Apr. 2006 pp. 1143-1146, Digital Object Identifier 10.1109/TMAG.2006.871464.
A Transiently Chaotic Neural Network with Hysteretic Activation Function for the Shortest Path Problem, Wang, Xiuhong; Qiao, Qingli; Natural Computation, 2008. ICNC '08. Fourth International Conference on vol. 3, Oct. 18-20, 2008 pp. 559-563 Digital Object Identifier 10.1109/ICNC.2008.664.
The hysteretic Hopfield neural network, Bharitkar, S.; Mendel, J.M.; Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on vol. 2, May 4-9, 1998 pp. 1634-1639 vol. 2, Digital Object Identifier 10.1109/IJCNN.1998.686023.
A Quickly Searching Algorithm for Optimization Problems Based on Hysteretic Transiently Chaotic Neural Network, Xiuhong Wang1 and Qingli Qiao2, D. Liu et al. (Eds.): ISNN 2007, pp. 72-78, 2007.
Mark S. Goodman et al.; “Robust Persistent Neural Activity in a Model Integrator with Multiple Hysteretic Dendrites per Neuron”; Cerebral Cortex; vol. 13, No. 11; pp. 1185-1195; Nov. 2003.
J.J. Hopfield; “Neural networks and physical systems with emergent collective computational abilities”;Proc. Natl. Acad. Sci. USA; vol. 79; pp. 2554-2558; Apr. 1982.
Alexei A. Koulakov et al.; “Model for a robust neural integrator”;nature neuroscience; vol. 5, No. 8; pp. 775-782; Aug. 2002.
Okamoto Hiroshi
Tsuboshita Yukihiro
Fuji 'Xerox Co., Ltd.
Oliff & Berridg,e PLC
Olude-Afolabi Ola
Vincent David R
LandOfFree
Data analyzer utilizing the spreading activation theory for... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Data analyzer utilizing the spreading activation theory for..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Data analyzer utilizing the spreading activation theory for... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4234539