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Subject
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AIDADS 1 Across income spectrum prediction 1 Algorithm 1 Algorithmus 1 BFOA 1 BP 1 Broadcasting policy 1 CR 1 Cognition 1 Food demand 1 Forecasting model 1 Household data 1 International cross-section demand system 1 Kognition 1 MLP 1 Mathematical programming 1 Mathematische Optimierung 1 NN 1 Neural networks 1 Neuronale Netze 1 Prognoseverfahren 1 Rundfunkpolitik 1 Theorie 1 Theory 1 back propagation 1 bacterial foraging optimisation algorithm 1 cognitive radio 1 multi-layer perceptron 1 neural networks 1 spectrum prediction 1
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Undetermined 2
Type of publication
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Article 2
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 1 Undetermined 1
Author
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Bhuvaneswari, B. 1 Hertel, Thomas W. 1 Meeradevi, T. 1 Preckel, Paul V. 1 Verma, Monika 1
Published in...
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Economics Letters 1 International journal of enterprise network management : IJENM 1
Source
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ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
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An optimised neural network-based spectrum prediction scheme for cognitive radio
Bhuvaneswari, B.; Meeradevi, T. - In: International journal of enterprise network management … 11 (2020) 1, pp. 76-93
Persistent link: https://www.econbiz.de/10012287227
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Predicting within country household food expenditure variation using international cross-section estimates
Verma, Monika; Hertel, Thomas W.; Preckel, Paul V. - In: Economics Letters 113 (2011) 3, pp. 218-220
International cross-section demand systems have not been tested on their ability to accurately predict within country consumption expenditures. This paper reports on such a validation exercise for the case of food budget share predictions across expenditure percentiles within Bangladesh.
Persistent link: https://www.econbiz.de/10010572180
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