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Analyzing MSI rules for the USA : extracted from a freedforward neural network
Schmidt, Vincent A.; Binner, Jane M. - In: Measurement error : consequences, applications and solutions, (pp. 281-294). 2009
Persistent link: https://www.econbiz.de/10003958208
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Weighted monetary aggregates for the UK
Drake, Leigh M.; Chrystal, K. Alec; Binner, Jane M. - In: Divisia monetary aggregates : theory and practice, (pp. 47-78). 2000
Persistent link: https://www.econbiz.de/10001532439
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Tools for non-linear time series forecasting in economics - an empirical comparison of regime switching vector autoregressive models and recurrent neural networks
Binner, Jane M.; Elger, Thomas; Nilsson, Birger; … - In: Applications of artificial intelligence in finance and …, (pp. 71-91). 2004
Persistent link: https://www.econbiz.de/10002797215
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Co-evolving neural networks with evolutionary strategies : a new applications to divisia money
Binner, Jane M.; Kendall, Graham; Gazely, Alicia - In: Applications of artificial intelligence in finance and …, (pp. 127-143). 2004
Persistent link: https://www.econbiz.de/10002797277
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Searching for divisia/inflation relationships with the aggregate feedforward neural network
Schmidt, Vincent A.; Binner, Jane M. - In: Applications of artificial intelligence in finance and …, (pp. 225-241). 2004
Persistent link: https://www.econbiz.de/10002797395