Implementation and Evaluation of Historical Consistent Neural Networks Using Parallel Computing
Forecasting the stock market is well-known to be a very complex and difficult task, and even by many considered to be impossible. The new model, emph{Historical Consistent Neural Networks} (HCNN), has recently been successfully applied for prediction and risk estimation on the energy markets. HCNN i...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Medie- och Informationsteknik
2015
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119983 |