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Results 1 to 25 of 3896

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Control of multivariable hammerstein systems by using feedforward passivationSU, Steven W; JIE BAO; LEE, Peter L et al.Industrial & engineering chemistry research. 2005, Vol 44, Num 4, pp 891-899, issn 0888-5885, 9 p.Article

Feedforward Control of Piezoactuators in Atomic Force Microscope SystemsLEANG, Kam K; QINGZE ZOU; DEVASIA, Santosh et al.IEEE control systems. 2009, Vol 29, Num 1, pp 70-82, issn 1066-033X, 13 p.Article

An information theoretic design and training algorithm for neural networksMURPHY, O. J.IEEE transactions on circuits and systems. 1991, Vol 38, Num 12, pp 1542-1547, issn 0098-4094Article

Uniqueness of the weights for minimal feedforward nets with a given input-outut mapSUSSMANN, H. J.Neural networks. 1992, Vol 5, Num 4, pp 589-593, issn 0893-6080Article

Parity with two layer feedforward netsMINOR, J. M.Neural networks. 1993, Vol 6, Num 5, pp 705-707, issn 0893-6080Article

Approximation capability in C(Rn) by multilayer feedforward networks and related problemsTIANPING CHEN; HONG CHEN; RUEY-WEN LIU et al.IEEE transactions on neural networks. 1995, Vol 6, Num 1, pp 25-30, issn 1045-9227Article

Vapnik-Chervonenkis dimensions bounds for two- and three-layer networksBARTLETT, P. L.Neural computation. 1993, Vol 5, Num 3, pp 371-373, issn 0899-7667Article

Computationally efficient neural predictive control based on a feedforward architectureKUURE-KINSEY, Matthew; CUTRIGHT, Rick; BEQUETTE, B. Wayne et al.Industrial & engineering chemistry research. 2006, Vol 45, Num 25, pp 8575-8582, issn 0888-5885, 8 p.Article

Minimal feedforward parity networks using threshold gatesFUNG, Hon-Kwok; LEONG KWAN LI.Neural computation. 2001, Vol 13, Num 2, pp 319-326, issn 0899-7667Article

A smoothing regularizer for feedforward and recurrent neural networksWU, L; MOODY, J.Neural computation. 1996, Vol 8, Num 3, pp 461-489, issn 0899-7667Article

Convergence theorems for hybrid learning rulesBENAIM, M.Neural computation. 1995, Vol 7, Num 1, pp 19-24, issn 0899-7667Article

Comments on the theory of feedforward controlled system eigenproperties. Author's replyYIGIT, A. S; BURDISSO, R. A; FULLER, C. R et al.Journal of sound and vibration. 1993, Vol 163, Num 2, pp 363-371, issn 0022-460XArticle

Backpropagation with homotopyYANG, L; YU, W.Neural computation. 1993, Vol 5, Num 3, pp 363-366, issn 0899-7667Article

La dynamique du traitement visuel = Visual processing dynamicsTHORPE, S; IMBERT, M.Le Courrier du C.N.R.S. 1992, Num 79, issn 0153-985X, p. 42Article

Determining the number of hidden nodes by progressive trainingLEE, T; CHUNG, F. L.Electronics Letters. 1990, Vol 26, Num 16, pp 1318-1320, issn 0013-5194Article

The value creation cycle: moving towards a framework for knowledge management implementationMEHTA, Nikhil.Knowledge management research and practice (Print). 2007, Vol 5, Num 2, pp 126-135, issn 1477-8238, 10 p.Article

Estimation of the training efficiency of recurrent neural networksPU SUN; MARKO, Kenneth.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol4.583-588, isbn 0-7695-0619-4, 6VolConference Paper

Cryptanalysis of the nonlinear feedforward generatorBEDI, S. S; PILLAI, N. Rajesh.Lecture notes in computer science. 2001, pp 188-194, issn 0302-9743, isbn 3-540-43010-5Conference Paper

Neural nets with superlinear VC-dimensionMAASS, W.Neural computation. 1994, Vol 6, Num 5, pp 877-884, issn 0899-7667Article

Identification and Feed Forward Control of a Flexible Stacker CraneSASAKI, Minoru; MUROTA, Takahiro; USUI, Jyun et al.Proceedings of SPIE, the International Society for Optical Engineering. 2009, Vol 7500, issn 0277-786X, isbn 978-0-8194-7811-5 0-8194-7811-3, 75000F.1-75000F.6Conference Paper

Integrator forwarding control laws for some classes of linearizable feedforward systemsKRSTIC, Miroslav.American Control Conference. 2004, pp 4360-4365, isbn 0-7803-8335-4, 6 p.Conference Paper

Ensemble methods for multilayer feedforward: An experimental studyHERNANDEZ-ESPINOSA, Carlos; FERNANDEZ-REDONDO, Mercedes; ORTIZ-GOMEZ, Mamen et al.Lecture notes in computer science. 2003, pp 137-144, issn 0302-9743, isbn 3-540-40211-X, 8 p.Conference Paper

The use of feedforward neural networks for machine vision calibrationLYNCH, M. B; DAGLI, C. H; VALLENKI, M et al.International journal of production economics. 1999, Vol 60-61, pp 479-489, issn 0925-5273Conference Paper

Training feedforward networks with the marquardt algorithmHAGAN, M. T; MENHAJ, M. B.IEEE transactions on neural networks. 1994, Vol 5, Num 6, pp 989-993, issn 1045-9227Article

Optimal feed-forward compensation for PWM DC/DC converters with linear and quadratic conversion ratioCALDERONE, L; PINOLA, L; VAROLI, V et al.IEEE transactions on power electronics. 1992, Vol 7, Num 2, pp 349-355, issn 0885-8993Article

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