Libros sobre el tema "Neural time series"
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Vemuri, V. Artificial neural networks: Forecasting time series. Los Alamitos, Calif: IEEE Computer Society Press, 1994.
Buscar texto completoAthanasios, Kehagias, ed. Predictive modular neural networks: Applications to time series. Boston: Kluwer Academic Publishers, 1998.
Buscar texto completoNeural, novel & hybrid algorithms for time series prediction. New York: John Wiley & Sons, 1995.
Buscar texto completoPetridis, Vassilios. Predictive Modular Neural Networks: Applications to Time Series. Boston, MA: Springer US, 1998.
Buscar texto completoNeural network time series forecasting of financial markets. Chichester: Wiley, 1994.
Buscar texto completoZanas, N. Artificial neural networks and time series models in economic forecasting. Manchester: UMIST, 1997.
Buscar texto completoBrunello, Tirozzi, ed. Neural networks and sea time series: Reconstruction and extreme event analysis. Boston, MA: Birkhäuser, 2005.
Buscar texto completo1949-, Creedy John y Martin Vance 1955-, eds. Nonlinear economic models: Cross-sectional, time series and neural network applications. Cheltenham, U.K: E. Elgar, 1997.
Buscar texto completoRoitman, Valéria de Lima. A utilização de redes neurais para previsão de séries temporais. Rio de Janeiro: IPEA, Diretoria de Estudos Macroeconômicos, 2001.
Buscar texto completoTetko, Igor V., Věra Kůrková, Pavel Karpov y Fabian Theis, eds. Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30490-4.
Texto completoSoto, Jesus, Patricia Melin y Oscar Castillo. Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71264-2.
Texto completoKünstliche neuronale Netze versus ökonometrische und zeitreihenanalytische Verfahren zur Prognose ökonomischer Zeitreihen. Frankfurt am Main: P. Lang, 1997.
Buscar texto completoCooper, Neil. Modelling and forecasting the recent sterling-deutschmark exchange rate: A comparison between modern time-series econometrics and artificial neural networks. [s.l.]: typescript, 1994.
Buscar texto completoIntelligent systems and financial forecasting. London: Springer, 1997.
Buscar texto completoCohen, Mike X. Analyzing Neural Time Series Data. The MIT Press, 2014. http://dx.doi.org/10.7551/mitpress/9609.001.0001.
Texto completoTirozzi, Brunello, Silvia Puca y Stefano Pittalis. Neural Networks and Sea Time Series. Springer, 2008.
Buscar texto completoNeural Networks and Sea Time Series. Boston, MA: Birkhäuser Boston, 2006. http://dx.doi.org/10.1007/0-8176-4459-8.
Texto completoCohen, Mike X. Analyzing Neural Time Series Data: Theory and Practice. MIT Press, 2014.
Buscar texto completoCohen, Mike X. Analyzing Neural Time Series Data: Theory and Practice. MIT Press, 2014.
Buscar texto completoCohen, Mike X. Analyzing Neural Time Series Data: Theory and Practice. MIT Press, 2014.
Buscar texto completoPetridis, Vassilios y Athanasios Kehagias. Predictive Modular Neural Networks: Applications to Time Series. Springer, 2011.
Buscar texto completoAnalyzing Neural Time Series Data: Theory and Practice. The MIT Press, 2014.
Buscar texto completoVemuri, V. Rao. Artificial Neural Networks: Forecasting Time Series/IEEE Catalog No Eh03822 (Forecasting Time Series/ieee Catalog No Eh03822). Institute of Electrical & Electronics Enginee, 1993.
Buscar texto completoPEREZ, C. TIME SERIES ANALYSIS with NEURAL NETWORKS. EXAMPLES Across MATLAB. Independently Published, 2019.
Buscar texto completoCurrent approaches in neural network modeling of financial time series. Bangalore: Indian Institute of Management, 2009.
Buscar texto completoTirozzi, Brunello, Silvia Puca, Stefano Pittalis, Antonello Bruschi y Sara Morucci. Neural Networks and Sea Time Series: Reconstruction and Extreme-Event Analysis. Springer London, Limited, 2007.
Buscar texto completoNeural networks and sea time series: Reconstruction and extreme event analysis. Boston, MA: Birkhauser, 2006.
Buscar texto completoSarangapani, Jagannathan. Neural Network Control of Nonlinear Discrete-Time Systems. Control Engineering Series. Taylor & Francis Group, 2010.
Buscar texto completoDeshpande, Rohit. Neural Network Approach for Rainfall Time Series Prediction: An Interactive Book. Independently Published, 2018.
Buscar texto completoEnsembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction. Springer, 2017.
Buscar texto completoShreve, Steven E. y Dimitri P. Bertsekas. Stochastic Optimal Control: The Discrete-Time Case (Optimization and Neural Computation Series). Athena Scientific, 2007.
Buscar texto completoLorentz, C. SUPERVISED LEARNING TECHNIQUES. TIME SERIES FORECASTING. EXAMPLES with NEURAL NETWORKS and MATLAB. Independently Published, 2020.
Buscar texto completoTheis, Fabian, Věra Kůrková, Igor V. Tetko y Pavel Karpov. Artificial Neural Networks and Machine Learning – ICANN 2019 : Text and Time Series: 28th International Conference on Artificial Neural Networks, ... Springer, 2019.
Buscar texto completoTirozzi, Brunello, Silvia Puca, Stefano Pittalis, Antonello Bruschi, Sara Morucci, Enrico Ferraro y Stefano Corsini. Neural Networks and Sea Time Series: Reconstruction and Extreme-Event Analysis (Modeling and Simulation in Science, Engineering and Technology). Birkhäuser Boston, 2005.
Buscar texto completoMARQUÉS, Felicidad. AUTOMATIC TIME SERIES FORECASTING Using NEURAL NETWORKS, STATE SPACE and ARIMAX MODELS. Examples with R. Independently Published, 2021.
Buscar texto completoPemodelan dan peramalan data di Indonesia dengan pendekatan ekonometrik time series dan neural network: Laporan penelitian. [Bandung]: Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Padjadjaran, 2007.
Buscar texto completoPerez, C. Applications with Neural Networks: Fit Regression Models, Clustering, Pattern Recognition and Time Series Models. Examples with MATLAB. Independently Published, 2019.
Buscar texto completoWhitenack, Daniel. Machine Learning With Go: Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language. Packt Publishing - ebooks Account, 2017.
Buscar texto completo(Editor), John Creedy y Vance Martin (Editor), eds. Nonlinear Economic Models: Cross-Sectional, Times Series and Neural Network Applications. Edward Elgar Publishing, 1997.
Buscar texto completoWalsh, Bruce y Michael Lynch. The Neutral Divergence of Quantitative Traits. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0012.
Texto completoSilberstein, Michael, W. M. Stuckey y Timothy McDevitt. Conscious Experience and the Block Universe. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198807087.003.0008.
Texto completoDeFelipe, Javier. The Golden Era for Artistic Creativity in Neuroscience. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190842833.003.0003.
Texto completoAnderson, James A. An Engineer’s Introduction to Neuroscience. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0006.
Texto completoWarner, Kristen J. ABC’s Scandal and Black Women’s Fandom. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252039577.003.0003.
Texto completoRobbins, Trevor. Impulsivity and Drug Addiction: A Neurobiological Perspective. Editado por Jon E. Grant y Marc N. Potenza. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195389715.013.0078.
Texto completoStraub, Rainer H. Neuroendocrine system. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0022.
Texto completoStraub, Rainer H. Neuroendocrine system. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199642489.003.0022_update_002.
Texto completoStraub, Rainer H. Neuroendocrine system. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199642489.003.0022_update_003.
Texto completoVerstraten, Frans A. J. y Peter J. Bex. The Motion Aftereffect. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0082.
Texto completoGage, Greg y Tim Marzullo. How Your Brain Works. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/12429.001.0001.
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