Pascal and Francis Bibliographic Databases

Help

Search results

Your search

kw.\*:("Multilayer perceptrons")

Filter

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Document Type [dt]

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Publication Year[py]

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Discipline (document) [di]

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Language

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Author Country

A-Z Z-A Frequency ↓ Frequency ↑
Export in CSV

Results 1 to 25 of 1443

  • Page / 58
Export

Selection :

  • and

Geometrical interpretation and architecture selection of MLPCHENG XIANG; DING, Shenqiang Q; TONG HENG LEE et al.IEEE transactions on neural networks. 2005, Vol 16, Num 1, pp 84-96, issn 1045-9227, 13 p.Article

MEG source localization using an MLP with a distributed output representationSUNG CHAN JUN; PEARLMUTTER, Barak A; NOLTE, Guido et al.IEEE transactions on biomedical engineering. 2003, Vol 50, Num 6, pp 786-789, issn 0018-9294, 4 p.Article

Estimation of Lyapunov exponents by using the perceptronDIAMAI, L; COIRAULT, P.Proceedings of the American Control Conference. 2002, pp 5150-5155, issn 0743-1619, isbn 0-7803-7298-0, 6Vol, 6 p.Conference Paper

Emergence and propagation of round autowave in Cellular Neural NetworkSELIKHOV, A. V.Lecture notes in computer science. 1999, pp 120-133, issn 0302-9743, isbn 3-540-66363-0Conference Paper

Natural gradient and multiclass NLDA networksDORRONSORO, José R; GONZALEZ, Ana.Lecture notes in computer science. 2002, pp 673-678, issn 0302-9743, isbn 3-540-44074-7, 6 p.Conference Paper

Pharmacodynamic population analysis in chronic renal failure using artificial neural networks: a comparative studyGAWEDA, Adam E; JACOBS, Alfred A; BRIER, Michael E et al.Neural networks. 2003, Vol 16, Num 5-6, pp 841-845, issn 0893-6080, 5 p.Conference Paper

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

Alaryngeal speech enhancement using pattern recognition techniquesAGUILAR, Gualberto; NAKANO-MIYATAKE, Mariko; PEREZ-MEANA, Hector et al.IEICE transactions on information and systems. 2005, Vol 88, Num 7, pp 1618-1622, issn 0916-8532, 5 p.Article

On the application of artificial intelligence techniques to the quality improvement of industrial processesGEORGILAKIS, Pavlos; HATZIARGYRIOU, Nikos.Lecture notes in computer science. 2002, pp 473-484, issn 0302-9743, isbn 3-540-43472-0Conference Paper

Averaged learning equations of error-function-based multilayer perceptronsWEILI GUO; HAIKUN WEI; JUNSHENG ZHAO et al.Neural computing & applications (Print). 2014, Vol 25, Num 3-4, pp 825-832, issn 0941-0643, 8 p.Article

Two-phase Inflow Performance Relationship Prediction Using Two Artificial Intelligence Techniques: Multi-layer Perceptron Versus Genetic ProgrammingSAJEDIAN, A; EBRAHIMI, M; JAMIALAHMADI, M et al.Petroleum science and technology. 2012, Vol 30, Num 13-16, pp 1725-1736, issn 1091-6466, 12 p.Article

Influence of the input layer signals of ANNs on wind power estimation for a target site: A case studyVELAZQUEZ, Sergio; CARTA, José A; MATIAS, J. M et al.Renewable & sustainable energy review. 2011, Vol 15, Num 3, pp 1556-1566, issn 1364-0321, 11 p.Article

Wind speed estimation using multilayer perceptronVELO, Ramón; LOPEZ, Paz; MASEDA, Francisco et al.Energy conversion and management. 2014, Vol 81, pp 1-9, issn 0196-8904, 9 p.Article

Dynamic soft sensors for NOx emissions in a circulating fluidized bed boilerLIUKKONEN, Mika; HÄLIKKÄ, Eero; HILTUNEN, Teri et al.Applied energy. 2012, Vol 97, pp 483-490, issn 0306-2619, 8 p.Conference Paper

Performing Feature Selection With Multilayer PerceptronsROMERO, Enrique; SOPENA, Josep Maria.IEEE transactions on neural networks. 2008, Vol 19, Num 3, pp 431-441, issn 1045-9227, 11 p.Article

Task decomposition and modular single-hidden-layer perceptron classifiers for multi-class learning problemsGAO DAQI; LI CHUNXIA; YANG YUNFAN et al.Pattern recognition. 2007, Vol 40, Num 8, pp 2226-2236, issn 0031-3203, 11 p.Article

Parameter by parameter algorithm for multilayer perceptronsYANLAI LI; ZHANG, David; KUANQUAN WANG et al.Neural processing letters. 2006, Vol 23, Num 2, pp 229-242, issn 1370-4621, 14 p.Article

Marginalized Neural Network Mixtures for Large-Scale RegressionLAZARO-GREDILLA, Miguel; FIGUEIRAS-VIDAL, Aníbal R.IEEE transactions on neural networks. 2010, Vol 21, Num 8, pp 1345-1351, issn 1045-9227, 7 p.Article

A spectral clustering approach to underdetermined postnonlinear blind source separation of sparse sourcesVAN VAERENBERGH, Steven; SANTAMARIA, Ignacio.IEEE transactions on neural networks. 2006, Vol 17, Num 3, pp 811-814, issn 1045-9227, 4 p.Article

Uncertainty of data, fuzzy membership functions, and multilayer perceptronsDUCH, Włodzisław.IEEE transactions on neural networks. 2005, Vol 16, Num 1, pp 10-23, issn 1045-9227, 14 p.Article

Saturated perceptrons for maximum margin and minimum misclassification errorCID-SUEIRO, Jesus; SANCHO-GOMEZ, José L.Neural processing letters. 2001, Vol 14, Num 3, pp 217-226, issn 1370-4621Article

Systèmes d'apprentissage connexionnistes : sélection de variablesBENNANI, Younès.Revue d'intelligence artificielle. 2001, Vol 15, Num 3-4, issn 0992-499X, 145 p.Serial Issue

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

Design of rough neurons : Rough set foundation and Petri net modelPETERS, J. F; SKOWRON, A; SURAJ, Z et al.Lecture notes in computer science. 2000, pp 283-291, issn 0302-9743, isbn 3-540-41094-5Conference Paper

Optimal use of a trained neural network for input selectionFERNANDEZ REDONDO, M; HERNANDEZ ESPINOSA, C.Lecture notes in computer science. 1999, pp 506-515, issn 0302-9743, isbn 3-540-66068-2Conference Paper

  • Page / 58