Boots – shoes – and leggings
Patent
1995-12-21
1998-05-05
Trammell, James P.
Boots, shoes, and leggings
395 20, 395 21, 364153, G06F 1518
Patent
active
057488479
ABSTRACT:
An adaptive neural system (ANS) disclosed herein comprises a processor and an adaptor. The processor includes mainly a neural network whose adjustable weights are divided into nonadaptively and adaptively adjustable weights. The nonadaptively adjustable weights are determined through minimizing or reducing a nonadaptive training criterion in an off-line nonadaptive training. Being constructed with a priori training data, the nonadaptive training criterion is a function of the nonadaptively adjustable weights and the diversity variables associated with typical values of the environmental parameter. During an operation of the adaptive neural system, only the adaptively adjustable weights are adjusted on-line to adapt to the unknown environmental parameter. This adaptive training is achieved by minimizing or reducing an adaptive training criterion. The nonadaptive training allows the ANS to make full advantage of a priori information about the ANS's operating environment and helps the ANS focus on learning about and adapting to the unknown environmental parameter during the adaptive training. In many applications, the adaptively adjustable weights can be selected, without adversely affecting the ANS's performance, such that they appear quadratically in the adaptive training criterion. In this case, the adaptive training criterion has no undesirable local minima and the existing fast algorithms for adaptive linear filters are applicable to the adaptive training.
REFERENCES:
patent: 5065040 (1991-11-01), Peterson et al.
patent: 5129039 (1992-07-01), Hiraiwa
patent: 5182794 (1993-01-01), Gasperi et al.
patent: 5247606 (1993-09-01), Tam
patent: 5268834 (1993-12-01), Sanner et al.
patent: 5299285 (1994-03-01), Tawel
patent: 5442543 (1995-08-01), Tresp
patent: 5467428 (1995-11-01), Ulug
Yahagi, Cao, and Lu "A Design Method for Parallel Nonlinear Adaptive Digital Filters using Neural Networks", Electronics and Communications in Japan, Part 3, vol. 79, No. 1 pp. 22-33, Jan. 1996.
Fung, Lam, Chan, Poon, Liu "Adaptive Neural Network Filter for Visual Evoked Potential Estimation", IEEE International Conference on Neural Networks Proceedings, 1995.
Neiberg and Casasent "High-Capacity Neural Networks on Non-ideal hardware", Applied Optics, vol. 33, No. 32, Nov. 10, 1994.
Nerrad, Roussel-Ragot, Personnaz, Dreyfus, Marcos, Macchi, Vignat, "Neural Network Training Schemes for non-Linear Adaptive Filtering and Modelling", IEEE/IEE Publications Ondisc, vol. I, 1991.
A. H. Sayed and T. Kailath, "A State-Space Approach to Adaptive RLS Filtering," IEEE Signal Processing Magazine, vol. 11, No.3, pp. 18-60 (1994).
K. S. Narendra and K. Parthasarathy, "Identification and Control of Dynamical Systems Using Neural Networks," IEEE Transactions Neural Networks, vol. 1, pp. 4-27 (1990).
O. Nerrand, P. Roussel-Ragot, L. Personnaz, and G. Dreyfus, "Neural Networks and Nonlinear Adaptive: Filtering: Unifying Concepts and New Algorithm," Neural Computation, vol. 5, pp. 165-199 (1993).
G. V. Puskorius and L. A. Feldkamp, "Neurocontrol of Nonlinear Dynamical Systems with Kalman Filter-Trained Recurrent Networks," IEEE Transactions on Neural Networks, vol. 5, No. 2, pp. 279-297 (1994).
L. Yin et al, "A New Class of Nonlinear Filters--Neural Filters," IEEE Transaction on Signal Processing, vol. 41, pp. 1201-1222 (1993).
Maryland Technology Corporation
Smith Demetra R.
Trammell James P.
LandOfFree
Nonadaptively trained adaptive neural systems does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Nonadaptively trained adaptive neural systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Nonadaptively trained adaptive neural systems will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-64905