neue < neural < neuro

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List of bibliographic references

Number of relevant bibliographic references: 42.
[0-20] [0 - 20][0 - 42][20-40]

Ident.	Authors (with country if any)	Title
000007 (2013-02-20)	Teresa Pamuła [Pologne]	Classification and Prediction of Traffic Flow Based on Real Data Using Neural Networks
000078 (2011)	Lucas Baggio Figueira [Brésil] ; Antonio Carlos Roque [Brésil]	Pattern Recognition Using a Recurrent Neural Network Inspired on the Olfactory Bulb
000214 (2011)	Francisco J. Díaz-Pernas [Espagne] ; Míriam Ant N-Rodríguez [Espagne] ; Mario Martínez-Zarzuela [Espagne] ; J. Fernando Díez-Higuera [Espagne] ; David González-Ortega [Espagne] ; Daniel Boto-Giralda [Espagne]	Multiple scale neural architecture for enhancing regions in the colour image segmentation process
000398 (2010)	Jui-Chen Huang [République populaire de Chine, Niger]	Using Fuzzy Neural Network to Explore the Effect of Internet on Quality of Life
000447 (2010)	Daniel Boto-Giralda [Espagne] ; Francisco J. Díaz-Pernas [Espagne] ; David González-Ortega [Espagne] ; José F. Díez-Higuera [Espagne] ; Míriam Ant N-Rodríguez [Espagne] ; Mario Martínez-Zarzuela [Espagne] ; Isabel Torre-Díez [Espagne]	Wavelet‐Based Denoising for Traffic Volume Time Series Forecasting with Self‐Organizing Neural Networks
000490 (2010)	Jun Wang [République populaire de Chine, Pays-Bas] ; Hendrik Jan Hoogeboom [Pays-Bas] ; Linqiang Pan [République populaire de Chine]	Spiking Neural P Systems with Neuron Division
000492 (2010)	Tseren-Onolt Ishdorj [Finlande] ; Alberto Leporati [Italie] ; Linqiang Pan [République populaire de Chine, Espagne] ; Jun Wang [République populaire de Chine]	Solving NP-Complete Problems by Spiking Neural P Systems with Budding Rules
000930 (2009)	Michael F. Mc Bride [Royaume-Uni] ; T. M. Mcginnity [Royaume-Uni] ; Liam P. Maguire [Royaume-Uni]	Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks
000A44 (2009)	Štefan Babinec [Slovaquie] ; Ji Pospíchal [Slovaquie]	Gating Echo State Neural Networks for Time Series Forecasting
000A52 (2009)	Robert Koch [Allemagne] ; Gabi Dreo [Allemagne]	Fast Learning Neural Network Intrusion Detection System
000B16 (2009)	Štefan Babinec [Slovaquie] ; Ji Pospíchal [Slovaquie]	Combination of Dynamic Reservoir and Feedforward Neural Network for Time Series Forecasting
000D37 (2008-06-16)	Filip Ponulak [Pologne]	Analysis of the ReSuMe Learning Process For Spiking Neural Networks
000D67 (2008)	Francisco Javier Díaz-Pernas [Espagne] ; Míriam Ant N-Rodríguez [Espagne] ; José Fernando Díez-Higuera [Espagne] ; Mario Martínez-Zarzuela [Espagne]	A Bio-inspired Neural Model for Colour Image Segmentation
000D83 (2008)	Dimitri Ognibene [Italie] ; Christian Balkenius [Suède] ; Gianluca Baldassarre [Italie]	Integrating Epistemic Action (Active Vision) and Pragmatic Action (Reaching): A Neural Architecture for Camera-Arm Robots
000F37 (2008)	Mianyun Chen ; Zheng Kou [République populaire de Chine] ; Yanhong Zhou [République populaire de Chine] ; Xiaoli Qiang [République populaire de Chine]	Human influenza a virus classification using a probabilistic neural network
001134 (2007)	Eun-Mi Lee [Corée du Sud] ; Jai-Hoon Kim [Corée du Sud] ; Won-Sik Yoon [Corée du Sud]	Traffic Speed Prediction Under Weekday, Time, and Neighboring Links’ Speed: Back Propagation Neural Network Approach
001167 (2007)	Oscar H. Ibarra [États-Unis] ; Sara Woodworth [États-Unis]	Spiking Neural P Systems: Some Characterizations
001241 (2007)	Štefan Babinec [Slovaquie] ; Ji Pospíchal [Slovaquie]	Improving the Prediction Accuracy of Echo State Neural Networks by Anti-Oja’s Learning
001421 (2006)	Oscar H. Ibarra [États-Unis] ; Sara Woodworth [États-Unis]	Characterizations of Some Restricted Spiking Neural P Systems
001572 (2006)	Oscar H. Ibarra [États-Unis] ; Sara Woodworth [États-Unis] ; Fang Yu [États-Unis] ; Andrei P Un [États-Unis]	On Spiking Neural P Systems and Partially Blind Counter Machines
001598 (2006)	Štefan Babinec [Slovaquie] ; Ji Pospíchal [Slovaquie]	Merging Echo State and Feedforward Neural Networks for Time Series Forecasting

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