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Year of publication
Subject
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Batch reactor 1 Data envelopment analysis 1 Data-Envelopment-Analyse 1 Hybrid fuzzy model 1 Hybrid systems 1 Inverse model 1 Inverse model control 1 Inverse-model-based control 1 Left-inverses 1 Negative data 1 Neural networks 1 Nonlinear systems 1 Ratio model 1 Relative order 1 Theorie 1 Theory 1 chartists 1 fundamentalists 1 heterogeneous agent-based models 1 indirect estimation 1 inverse model 1 neural networks 1 stock market 1 trading strategies 1
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Online availability
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Undetermined 3 Free 1
Type of publication
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Article 3 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 3 English 1
Author
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Charles, Vincent 1 Craddock, R.J. 1 Ghiyasi, Mojtaba 1 Kambhampati, C. 1 Karer, Gorazd 1 Kirn, S. 1 Klein, A. 1 Mušič, Gašper 1 Sharafi, Hamid 1 Soltanifar, Mehdi 1 Tavana, Madjid 1 Tham, M. 1 Urbig, D. 1 Warwick, K. 1 Zupančič, Borut 1 Škrjanc, Igor 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Mathematics and Computers in Simulation (MATCOM) 2 MPRA Paper 1 Operational research : an international journal 1
Source
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RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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A novel inverse data envelopment analysis model with negative ratio data
Soltanifar, Mehdi; Tavana, Madjid; Charles, Vincent; … - In: Operational research : an international journal 25 (2025) 2, pp. 1-34
Persistent link: https://www.econbiz.de/10015592965
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Who Drives the Market? Estimating a Heterogeneous Agent-based Financial Market Model Using a Neural Network Approach
Klein, A.; Urbig, D.; Kirn, S. - Volkswirtschaftliche Fakultät, … - 2008
and computational methods. The indirect estimation method we propose is based on estimating the inverse model of a rich … the inverse model, which maps macro parameters back to micro parameters, to widely available macro-level financial market … the inverse model in the first place, a neural network approach is used, as it allows for a large degree of freedom …
Persistent link: https://www.econbiz.de/10005835845
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Feedforward control of a class of hybrid systems using an inverse model
Karer, Gorazd; Mušič, Gašper; Škrjanc, Igor; … - In: Mathematics and Computers in Simulation (MATCOM) 82 (2011) 3, pp. 414-427
In this paper we describe the design of a control algorithm for MISO systems, which can be modelled as hybrid fuzzy models. Hybrid fuzzy models present a convenient approach to modelling nonlinear hybrid systems.
Persistent link: https://www.econbiz.de/10011050470
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Inverse model control using recurrent networks
Kambhampati, C.; Craddock, R.J.; Tham, M.; Warwick, K. - In: Mathematics and Computers in Simulation (MATCOM) 51 (2000) 3, pp. 181-199
This paper illustrates how internal model control of nonlinear processes can be achieved by recurrent neural networks, e.g. fully connected Hopfield networks. It is shown that using results developed by Kambhampati et al. (1995), that once a recurrent network model of a nonlinear system has been...
Persistent link: https://www.econbiz.de/10010870054
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