Preface
Identifying dynamical systems from data is a promising approach to data forecasting and optimal control. Data forecasting is an essential component of rational decision making in quantitative finance, marketing and planning. Optimal control systems, that is, systems that can sense the environment and react appropriately, enable the design of cost efficient gas turbines, smart grids and human-machine interfaces.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Duell, S., Udluft, S., Sterzing, V.: Solving Partially Observable Reinforcement Learning Problems with Recurrent Neural Networks. In: Montavon, G., Orr, G.B., Müller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 687–707. Springer, Heidelberg (2012)
Jaeger, H., Haas, H.: Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication. Science 304(5667), 78–80 (2004)
Lukoševičius, M.: A Practical Guide to Applying Echo State Networks. In: Montavon, G., Orr, G.B., Müller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 659–686. Springer, Heidelberg (2012)
Riedmiller, M.: 10 Steps and Some Tricks to Set Up Neural Reinforcement Controllers. In: Montavon, G., Orr, G.B., Müller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 735–757. Springer, Heidelberg (2012)
Watkins, C.J.C.H.: Learning from Delayed Rewards. Ph.D. thesis, Cambridge University (1989)
Zimmermann, H.-G., Tietz, C., Grothmann, R.: Forecasting with Recurrent Neural Networks: 12 Tricks. In: Montavon, G., Orr, G.B., Müller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 687–707. Springer, Heidelberg (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Montavon, G., Müller, KR. (2012). Identifying Dynamical Systems for Forecasting and Control. In: Montavon, G., Orr, G.B., Müller, KR. (eds) Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science, vol 7700. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35289-8_35
Download citation
DOI: https://doi.org/10.1007/978-3-642-35289-8_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35288-1
Online ISBN: 978-3-642-35289-8
eBook Packages: Computer ScienceComputer Science (R0)