Abstract
For a company to stay competitive, providing “intelligent” application solutions, services and products to its customers is indispensable. For example, forthcoming telematics applications require technologies like adaptive control, model building by learning, and focusing attention on relevant features. Neural Networks offer appropriate architectures for these purposes. This contribution gives an overview on activities at Siemens Corporate Research using Neural Networks for prediction and control purposes.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
R. Neuneier and H.G. Zimmermann, How to Train Neural Networks, In: Neural Networks: Tricks of the Trade, G.B. Orr and K.-R. Miiller, (Eds.), pp. 373–423 (Springer, Berlin, 1998).
R. Sollacher and P. Konhäuser, SANDY - Nichtlineare Dynamik im Strafienverkehr, in: Statusseminar Technische Anwendungen von Erkenntnissen der Nichtlinearen Dynamik, pp. 103-112 (VDI Technologiezentrum Physikalische Technologien, Düsseldorf, 1999).
R. Sollacher, Ch. Stutz, and H. Lenz, Prognose und Steuerung von Verkehr, in: Statusseminar Technische Anwendungen von Erkenntnissen der Nichtlinearen Dynamik, pp. 177-180 (VDI Technologiezentrum Physikalische Technologien, Düsseldorf, 1999).
R. Sollacher and H. Lenz Nonlinear Control of Stop-and-Go Traffic, in: These proceedings.
C. Wagner, C. Hoffmann, R. Sollacher, J. Wagenhuber, and B. Schürmann, Second-Order Continuum Traffic Flow Model, Phys. Rev. E 54, 5073-5085 (1996).
H. Lenz, Ch. Wagner, and R. Sollacher, Multi-anticipative car-following model, Eur. Phys. J.B 7, 331–335 (1999).
F. Black and R. Litterman, Global Portfolio Optimization, Fin. Analysts J., Sep., (1992).
H.M. Markowitz, Portfolio Selection, J. of Finance 7, 77–91 (1952).
W.F. Sharpe, Capital Asset Prices: A Theory of Market Equilibrium Under Conditions of Risk, J. of Finance, Sep., (1964).
J. Lintner, The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets, Rev. of Eco. and Stat., Feb., (1965).
H.G. Zimmermann and R. Neuneier, Active Portfolio-Management with Neural Networks, in: Proc. of Comp. Finance CF’1999, A.S. Weigend and B. LeBaron, (Eds.), (Springer, 1999).
D. Bertsekas and J.N. Tsitsiklis,Neuro-Dynamic Programming, (Athena Scientific, Melmont, Massachusetts, 1996)
P. Marbach, O. Mihatsch, and J.N. Tsitsiklis,Call Admission Control and Routing in Integrated Services Networks Using Neuro-Dynamic Programming, to appear in IEEEJ. on Selected Areas in Communic., (2000).
M. Appl and R. Palm, Fuzzy Q-Learning in Nonstationary Environments, in: Proc. of the 7th Eur. Congress on Intelligent Techniques & Soft Computing (EUFIT’ 99), (1999).
G. Deco and B. Schürmann, Spatiotemporal Coding in the Cortex: Information Flow-based Learning in spiking Neural Networks, Neural Comp. 11, 919–934 (1999).
G. Deco and B. Schürmann, AN euro-Cognitive Visual System for Object Recognition based on Interactive Attentional Top-Down Hypothesis Testing, submitted, Perception, (1999).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Schürmann, B. (2000). Application of Neural Networks for Predictive and Control Purposes. In: Helbing, D., Herrmann, H.J., Schreckenberg, M., Wolf, D.E. (eds) Traffic and Granular Flow ’99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59751-0_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-59751-0_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-64109-1
Online ISBN: 978-3-642-59751-0
eBook Packages: Springer Book Archive