Books on the topic 'Recurrent neural networks BLSTM'
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Hu, Xiaolin, and P. Balasubramaniam. Recurrent neural networks. Rijek, Crotia: InTech, 2008.
Salem, Fathi M. Recurrent Neural Networks. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89929-5.
Hammer, Barbara. Learning with recurrent neural networks. London: Springer London, 2000. http://dx.doi.org/10.1007/bfb0110016.
ElHevnawi, Mahmoud, and Mohamed Mysara. Recurrent neural networks and soft computing. Rijeka: InTech, 2012.
Yi, Zhang. Convergence analysis of recurrent neural networks. Boston: Kluwer Academic Publishers, 2004.
Yi, Zhang, and K. K. Tan. Convergence Analysis of Recurrent Neural Networks. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4757-3819-3.
Graves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Graves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24797-2.
Michel, Anthony N. Qualitative analysis and synthesis of recurrent neural networks. New York: Marcel Dekker, Inc., 2002.
Chen, Wen. Recurrent neural networks applied to robotic motion control. Ottawa: National Library of Canada, 2002.
Rovithakis, George A., and Manolis A. Christodoulou. Adaptive Control with Recurrent High-order Neural Networks. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0785-9.
Bianchi, Filippo Maria, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, and Robert Jenssen. Recurrent Neural Networks for Short-Term Load Forecasting. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70338-1.
Kuan, Chung-Ming. Forecasting exchange rates using feedforward and recurrent neural networks. Champaign: University of Illinois at Urbana-Champaign, 1993.
Kuan, Chung-Ming. Forecasting exchange rates using feedforward and recurrent neural networks. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1992.
Rovithakis, George A. Adaptive control with recurrent high-order neural networks: Theory and industrial applications. London: Springer, 2000.
Rovithakis, George A. Adaptive Control with Recurrent High-order Neural Networks: Theory and Industrial Applications. London: Springer London, 2000.
Medsker, Larry, and Lakhmi C. Jain, eds. Recurrent Neural Networks. CRC Press, 1999. http://dx.doi.org/10.1201/9781420049176.
Hu, Xiaolin, and P. Balasubramaniam, eds. Recurrent Neural Networks. InTech, 2008. http://dx.doi.org/10.5772/68.
Hammer, Barbara. Learning with Recurrent Neural Networks. Springer, 2000.
Yi, Zhang. Convergence Analysis of Recurrent Neural Networks. Springer, 2013.
R, Medsker L., and Jain L. C, eds. Recurrent neural networks: Design and applications. Boca Raton, Fla: CRC Press, 2000.
ElHefnawi, Mahmoud, ed. Recurrent Neural Networks and Soft Computing. InTech, 2012. http://dx.doi.org/10.5772/2296.
Graves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Springer, 2012.
Supervised Sequence Labelling With Recurrent Neural Networks. Springer, 2012.
Recurrent Neural Networks for Temporal Data Processing. InTech, 2011.
Brunner, Daniel, Miguel C. Soriano, and Guy Van der Sande. Photonic Reservoir Computing: Optical Recurrent Neural Networks. de Gruyter GmbH, Walter, 2019.
Cardot, Hubert, ed. Recurrent Neural Networks for Temporal Data Processing. InTech, 2011. http://dx.doi.org/10.5772/631.
1965-, Kolen John F., and Kremer Stefan C. 1968-, eds. A field guide to dynamical recurrent networks. New York: IEEE Press, 2001.
(Editor), John F. Kolen, and Stefan C. Kremer (Editor), eds. A Field Guide to Dynamical Recurrent Networks. Wiley-IEEE Press, 2001.
Omlin, Christian W. Knowledge Acquisition and Representation in Recurrent Neural Networks. World Scientific Publishing Company, 2005.
Yi, Zhang, and K. K. Tan. Convergence Analysis of Recurrent Neural Networks (Network Theory and Applications). Springer, 2003.
Mandic, Danilo, and Jonathon Chambers. Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability. Wiley, 2001.
Mandic, Danilo P., and Jonathon A. Chambers. Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability. Wiley & Sons, Incorporated, John, 2003.
(Editor), Larry Medsker, and Lakhmi C. Jain (Editor), eds. Recurrent Neural Networks: Design and Applications (The Crc Press International Series on Computational Intelligence). CRC, 1999.
Michel, Anthony, and Derong Liu. Qualitative Analysis and Synthesis of Recurrent Neural Networks (Pure and Applied Mathematics). CRC, 2002.
Bianchi, Filippo Maria Maria, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, and Robert Jenssen. Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis. Springer, 2017.
Kostadinov, Simeon. Recurrent Neural Networks with Python Quick Start Guide: Sequential learning and language modeling with TensorFlow. Packt Publishing, 2018.
Gandhi, Vaibhav. Brain-Computer Interfacing for Assistive Robotics: Electroencephalograms, Recurrent Quantum Neural Networks, and User-Centric Graphical Interfaces. Academic Press, 2014.
Lewis, Marc D. The Development of Emotion Regulation. Edited by Philip David Zelazo. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199958474.013.0004.
Trappenberg, Thomas P. Fundamentals of Machine Learning. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198828044.001.0001.