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Progress in the construction of a multilayer optical neural networkPOURZAND, A. R; COLLINGS, N.SPIE proceedings series. 1998, pp 439-442, isbn 0-8194-2949-XConference Paper

Building Multi-layer Small World Neural NetworkSHUZHONG YANG; SIWEI LUO; JIANYU LI et al.Lecture notes in computer science. 2006, pp 695-700, issn 0302-9743, isbn 3-540-34439-X, 6 p.Conference Paper

Recovery strategies in multilayer networksCOLLE, D; PUYPE, B; GROEBBENS, A et al.Proceedings of SPIE, the International Society for Optical Engineering. 2005, pp 60222J.1-60222J.15, issn 0277-786X, isbn 0-8194-6053-2, 2VolConference Paper

Bounds on the learning capacity of some multi-layer networksMITCHISON, G. J; DURBIN, R. M.Biological cybernetics. 1989, Vol 60, Num 5, pp 345-356, issn 0340-1200, 12 p.Article

Architectures neuronales pour l'approximation des fonctions de transfert: application à la télédétection = Neural network architectures for the approximation of transfer functions: application to remote sensingMejia Mantilla, Carlos; Fogelman, Françoise.1992, 208 p.Thesis

Pajek: Analysis and visualization of large networksBATAGELJL, Vladimir; MRVAR, Andrej.Lecture notes in computer science. 2002, pp 477-478, issn 0302-9743, isbn 3-540-43309-0Conference Paper

Learning in feed-forward neural networks by improving the performanceGORDON, M. B; PERETO, P; RODRIGUEZ-GIRONES, M et al.Physica. A. 1992, Vol 185, Num 1-4, pp 402-410, issn 0378-4371Conference Paper

Réseaux de neurones et apprentissage = Neural networks and learningGONDRAN, M; MULLER, C.REE. Revue de l'électricité et de l'électronique. 1997, Num 3, pp 6-9, issn 1265-6534Article

Effects of nonlinear synapses on the performance of multilayer neural networksDÜNDAR, G; HSU, F.-C; ROSE, K et al.Neural computation. 1996, Vol 8, Num 5, pp 939-949, issn 0899-7667Article

A novel logical neuron modelWANG, G. Y; FISHER, P. S.International journal of intelligent systems. 1999, Vol 14, Num 12, pp 1199-1211, issn 0884-8173Article

Using multithreshold quadratic sigmoidal neurons to improve classification capability of multilayer perceptronsCHENG-CHIN CHIANG; HSIN-CHIA FU.IEEE transactions on neural networks. 1994, Vol 5, Num 3, pp 516-519, issn 1045-9227Article

Interpretation and knowledge discovery from the multilayer perceptron network : Opening the black boxVAUGHN, M. L.Neural computing & applications (Print). 1996, Vol 4, Num 2, pp 72-82, issn 0941-0643Article

MLP in layer-wise form with applications to weight decayKÄRKKÄINEN, Tommi.Neural computation. 2002, Vol 14, Num 6, pp 1451-1480, issn 0899-7667Article

Constraint-aware policy-enabled routing strategy for scalable multi-domain multi-layer optical networksZHANG, Min; JI, Yuefeng; ZHANG, Jie et al.Proceedings of SPIE, the International Society for Optical Engineering. 2009, Vol 7633, issn 0277-786X, isbn 978-0-8194-8035-4 0-8194-8035-5, 1Vol, 763319.1-763319.6Conference Paper

GMPLS multi-layer networkOTANI, Tomohiro; OGAKI, Kenichi.Proceedings of SPIE, the International Society for Optical Engineering. 2006, pp 635417.1-635417.8, issn 0277-786X, isbn 0-8194-6449-XConference Paper

Mixture of Neural Networks : Some Experiments with the Multilayer Feedforward ArchitectureTORRES-SOSPEDRA, Joaquin; HERNANDEZ-ESPINOSA, Carlos; FERNANDEZ-REDONDO, Mercedes et al.Lecture notes in computer science. 2006, pp 616-625, issn 0302-9743, isbn 3-540-46479-4, 3Vol, 10 p.Conference Paper

A new coordination method of the multi-layer networks survivabilityJIHONG ZHAO; HUA QU.SPIE proceedings series. 2002, pp 306-311, isbn 0-8194-4698-X, 6 p.Conference Paper

Building MLP networks by constructionAH CHUNG TSOI; HAGENBUCHNER, Markus; MICHELI, Alessio et al.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol4.549-554, isbn 0-7695-0619-4, 6VolConference Paper

Connectionist rule processing using recursive auto-associative memoryST AUBYN, M; DAVEY, N.European symposium on artificial neural networks. 1997, pp 225-230, isbn 2-9600049-7-3Conference Paper

MLP Iterative Construction AlgorithmRATHBUN, T. F; ROGERS, S. K; DESIMIO, M. P et al.SPIE proceedings series. 1997, pp 2-10, isbn 0-8194-2492-7Conference Paper

The interchangeability of learning rate and gain in backpropagation neural networksTHIMM, G; MOERLAND, P; FIESLER, E et al.Neural computation. 1996, Vol 8, Num 2, pp 451-460, issn 0899-7667Article

Discriminative training of a neural predictive system for on-line word recognitionGARCIA-SALICETTI, S; DORIZZI, B; GALLINARI, P et al.CESA'96 IMACS Multiconference : computational engineering in systems applications. 1996, pp 134-139, isbn 2-9502908-9-2, 2VolConference Paper

Strategies for improving neural net generalisationPARTRIDGE, D; GRIFFITH, N.Neural computing & applications (Print). 1995, Vol 3, Num 1, pp 27-37, issn 0941-0643Article

Generalization properties of multilayered neural networksMATO, G; PARGA, N.Journal of physics. A, mathematical and general. 1992, Vol 25, Num 19, pp 5047-5054, issn 0305-4470Article

Query-based learning applied to partially trained multilayer perceptronsJENQ-NENG HWANG; CHOI, J. J; SEHO OH et al.IEEE transactions on neural networks. 1991, Vol 2, Num 1, pp 131-136, issn 1045-9227Article

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