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Results 1 to 25 of 1047

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T-equivalences generated by shape function on the real lineDUG HUN HONG.Kybernetika. 2003, Vol 39, Num 3, pp 281-288, issn 0023-5954, 8 p.Article

Hopfield networks for solving Tower of Hanoi problemsKAPLAN, G. B; GÜZELIS, Cüneyt.Ari (Berlin. Print). 2001, Vol 52, Num 1, pp 23-29, issn 1434-5641Article

Generalization ability of Hopfield neural network with spin-S Ising neuronsKATAYAMA, Katsuki; HORIGUCHI, Tsuyoshi.Journal of the Physical Society of Japan. 2000, Vol 69, Num 9, pp 2816-2824, issn 0031-9015Article

A new generation of content addressable memories for associative processingLEWIS, H. Garton; GIAMBALOV, Paul.SPIE proceedings series. 2000, pp 164-172, isbn 0-8194-3517-1Conference Paper

ViA: A perceptual visualization assistantHEALEY, Christopher G; AMANT, Robert St; ELHADDAD, Mahmoud S et al.SPIE proceedings series. 2000, pp 2-11, isbn 0-8194-3517-1Conference Paper

Learning and generalization in higher-order perceptronsHYOUNGSOO YOON; OH, J.-H.Philosophical magazine. B. Physics of condensed matter. Statistical mechanics, electronic, optical and magnetic properties. 1998, Vol 77, Num 5, pp 1557-1563, issn 1364-2812Conference Paper

Parameter monitoring using neural-network-processed chromaticityAHMED, S; RUSSELL, P; LISBOA, P et al.IEE proceedings. Science, measurement and technology. 1997, Vol 144, Num 6, pp 257-262, issn 1350-2344Article

Will measuring instruments turn into agents ?DOBROWIECKI, T. P; LOUAGE, F; MESZAROS, T. C et al.IEEE transactions on instrumentation and measurement. 1997, Vol 46, Num 4, pp 991-995, issn 0018-9456Article

Codage temporel et apprentissage dans les réseaux de neurones = Temporal coding and learning in neural networksDucom, Jean-Christop; Combe, P.1996, 196 p.Thesis

Neural network modelling of cold-cathode gauge parametersBELIC, Lidija Irmancnik; BELIC, Igor; ERJAVEC, Bojan et al.Vacuum. 2003, Vol 71, Num 4, pp 505-515, issn 0042-207X, 11 p.Article

On the conditions for the existence of perfect learning and power law behaviour in learning from stochastic examples by Ising perceptronsUEZU, Tatsuya.Journal of the Physical Society of Japan. 2002, Vol 71, Num 8, pp 1882-1904, issn 0031-9015, 23 p.Article

On-line learning of two-layered neural network with randomly diluted connectionsKATAYAMA, Katsuki; HORIGUCHI, Tsuyoshi.Journal of the Physical Society of Japan. 2002, Vol 71, Num 2, pp 458-465, issn 0031-9015, 8 p.Article

Entropy of T-sums and T-products of L-R fuzzy numbersKOLESAROVA, Anna; VIVONA, Doretta.Kybernetika. 2001, Vol 37, Num 2, pp 127-145, issn 0023-5954Article

Fuzzy multicriterion design using immune network simulationYOO, J; HAJELA, P.Structural and multidisciplinary optimization (Print). 2001, Vol 22, Num 3, pp 188-197, issn 1615-147XArticle

Solitary waves on manifolds of integrate-and-fire neuronsHORN, D; OPHER, I.Philosophical magazine. B. Physics of condensed matter. Statistical mechanics, electronic, optical and magnetic properties. 1998, Vol 77, Num 5, pp 1575-1583, issn 1364-2812Conference Paper

Some remarks on hierarchical replica symmetry breaking in finite-connectivity systemsMONASSON, R.Philosophical magazine. B. Physics of condensed matter. Statistical mechanics, electronic, optical and magnetic properties. 1998, Vol 77, Num 5, pp 1515-1521, issn 1364-2812Conference Paper

Specialization processes in on-line unsupervised learningBIEHL, M; FREKING, A; REENTS, G et al.Philosophical magazine. B. Physics of condensed matter. Statistical mechanics, electronic, optical and magnetic properties. 1998, Vol 77, Num 5, pp 1487-1494, issn 1364-2812Conference Paper

Formal methods of automated reasoning for situational estimationLLINAS, J.SPIE proceedings series. 1997, pp 62-71, isbn 0-8194-2482-XConference Paper

Predictability comparison of four neural network structures for correcting matrix effects in X-ray fluorescence spectrometryLIQIANG LUO.Journal of trace and microprobe techniques. 2000, Vol 18, Num 3, pp 349-360, issn 0733-4680Article

Linkage learning through probabilistic expressionHARIK, G. R; GOLDBERG, D. E.Computer methods in applied mechanics and engineering. 2000, Vol 186, Num 2-4, pp 295-310, issn 0045-7825Article

Hybridization of a multi-objective genetic algorithm, a neural network and a classical optimizer for a complex design problem in fluid dynamicsPOLONI, C; GIURGEVICH, A; ONESTI, L et al.Computer methods in applied mechanics and engineering. 2000, Vol 186, Num 2-4, pp 403-420, issn 0045-7825Article

Classifier systems in combat : two-sided learning of maneuvers for advanced fighter aircraftSMITH, R. E; DIKE, B. A; MEHRA, R. K et al.Computer methods in applied mechanics and engineering. 2000, Vol 186, Num 2-4, pp 421-437, issn 0045-7825Article

Bounds on learning in polynomial timeHORNER, H; BETHGE, A.Philosophical magazine. B. Physics of condensed matter. Statistical mechanics, electronic, optical and magnetic properties. 1998, Vol 77, Num 5, pp 1495-1505, issn 1364-2812Conference Paper

Globally optimal learning rates for multilayer neural networksSAAD, D; RATTRAY, M.Philosophical magazine. B. Physics of condensed matter. Statistical mechanics, electronic, optical and magnetic properties. 1998, Vol 77, Num 5, pp 1523-1530, issn 1364-2812Conference Paper

Storage properties of correlated perceptronsENGEL, A; MALZAHN, D; KANTER, I et al.Philosophical magazine. B. Physics of condensed matter. Statistical mechanics, electronic, optical and magnetic properties. 1998, Vol 77, Num 5, pp 1507-1513, issn 1364-2812Conference Paper

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