Matches in SemOpenAlex for { <https://semopenalex.org/work/W2739988242> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2739988242 abstract "In this paper we compare a selection of artificial neural networks when applied for short-term stock market price prediction. The networks are selected due to their expected relevance to the problem. Further, the work aims at covering recent advances in the field of artificial neural networks. The networks considered include: Feed forward neural networks, echo state networks, conditional restricted Boltzmann machines, time-delay neural networks and convolutional neural networks. These models are also compared to another type of machine learning algorithm, support vector machine. The models are trained on daily stock exchange data, to make short-term predictions for one day and two days ahead, respectively. Performance is evaluated by following the models directly in a simple financial strategy; trade every prediction they make once during each day." @default.
- W2739988242 created "2017-08-08" @default.
- W2739988242 creator A5071144214 @default.
- W2739988242 creator A5081421054 @default.
- W2739988242 date "2017-01-01" @default.
- W2739988242 modified "2023-09-27" @default.
- W2739988242 title "Comparing Neural Networks for Predicting Stock Markets" @default.
- W2739988242 cites W2123513648 @default.
- W2739988242 cites W2125684070 @default.
- W2739988242 cites W2158663270 @default.
- W2739988242 cites W2167088383 @default.
- W2739988242 doi "https://doi.org/10.1007/978-3-319-65172-9_31" @default.
- W2739988242 hasPublicationYear "2017" @default.
- W2739988242 type Work @default.
- W2739988242 sameAs 2739988242 @default.
- W2739988242 citedByCount "0" @default.
- W2739988242 crossrefType "book-chapter" @default.
- W2739988242 hasAuthorship W2739988242A5071144214 @default.
- W2739988242 hasAuthorship W2739988242A5081421054 @default.
- W2739988242 hasConcept C119857082 @default.
- W2739988242 hasConcept C12267149 @default.
- W2739988242 hasConcept C147168706 @default.
- W2739988242 hasConcept C151730666 @default.
- W2739988242 hasConcept C154945302 @default.
- W2739988242 hasConcept C158154518 @default.
- W2739988242 hasConcept C17744445 @default.
- W2739988242 hasConcept C199539241 @default.
- W2739988242 hasConcept C2776256503 @default.
- W2739988242 hasConcept C2780299701 @default.
- W2739988242 hasConcept C2780762169 @default.
- W2739988242 hasConcept C41008148 @default.
- W2739988242 hasConcept C50644808 @default.
- W2739988242 hasConcept C86803240 @default.
- W2739988242 hasConceptScore W2739988242C119857082 @default.
- W2739988242 hasConceptScore W2739988242C12267149 @default.
- W2739988242 hasConceptScore W2739988242C147168706 @default.
- W2739988242 hasConceptScore W2739988242C151730666 @default.
- W2739988242 hasConceptScore W2739988242C154945302 @default.
- W2739988242 hasConceptScore W2739988242C158154518 @default.
- W2739988242 hasConceptScore W2739988242C17744445 @default.
- W2739988242 hasConceptScore W2739988242C199539241 @default.
- W2739988242 hasConceptScore W2739988242C2776256503 @default.
- W2739988242 hasConceptScore W2739988242C2780299701 @default.
- W2739988242 hasConceptScore W2739988242C2780762169 @default.
- W2739988242 hasConceptScore W2739988242C41008148 @default.
- W2739988242 hasConceptScore W2739988242C50644808 @default.
- W2739988242 hasConceptScore W2739988242C86803240 @default.
- W2739988242 hasLocation W27399882421 @default.
- W2739988242 hasOpenAccess W2739988242 @default.
- W2739988242 hasPrimaryLocation W27399882421 @default.
- W2739988242 hasRelatedWork W1498265397 @default.
- W2739988242 hasRelatedWork W1843063765 @default.
- W2739988242 hasRelatedWork W2068805783 @default.
- W2739988242 hasRelatedWork W2080285247 @default.
- W2739988242 hasRelatedWork W2289642014 @default.
- W2739988242 hasRelatedWork W2600049448 @default.
- W2739988242 hasRelatedWork W2610950807 @default.
- W2739988242 hasRelatedWork W2772705433 @default.
- W2739988242 hasRelatedWork W2784246028 @default.
- W2739988242 hasRelatedWork W2792890882 @default.
- W2739988242 hasRelatedWork W2797895539 @default.
- W2739988242 hasRelatedWork W2799024472 @default.
- W2739988242 hasRelatedWork W2883692332 @default.
- W2739988242 hasRelatedWork W2981985080 @default.
- W2739988242 hasRelatedWork W2982599009 @default.
- W2739988242 hasRelatedWork W2983499475 @default.
- W2739988242 hasRelatedWork W3006012 @default.
- W2739988242 hasRelatedWork W3033899148 @default.
- W2739988242 hasRelatedWork W3037141578 @default.
- W2739988242 hasRelatedWork W3093976760 @default.
- W2739988242 isParatext "false" @default.
- W2739988242 isRetracted "false" @default.
- W2739988242 magId "2739988242" @default.
- W2739988242 workType "book-chapter" @default.