Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380849092> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W4380849092 endingPage "03019" @default.
- W4380849092 startingPage "03019" @default.
- W4380849092 abstract "The Long Short-Term Memory network of deep learning neural network is widely used to predict stock price in financial field. In order to optimize the accuracy of stock price prediction by LSTM network, this paper firstly uses principal component analysis method to extract various influencing indexes of stock. Then, use Circle mapping method to select the initial value more evenly, use sine and cosine factors to improve factors of particle swarm optimization algorithm, so as to find the optimal parameters of LSTM model more effectively. Finally, the optimization results of IPSO algorithm are substituted into the LSTM model for the regression prediction with the principal components. Through empirical analysis and comparative test, the results show that the improved particle swarm optimization algorithm proposed in this paper has better optimization effect, is not prone to local optimal problems, and the prediction model based on this method has higher prediction accuracy." @default.
- W4380849092 created "2023-06-16" @default.
- W4380849092 creator A5045527959 @default.
- W4380849092 creator A5078487642 @default.
- W4380849092 date "2023-01-01" @default.
- W4380849092 modified "2023-09-26" @default.
- W4380849092 title "Hybrid Long Short-Term Memory prediction model improved by particle swarm optimization with sine and cosine factors" @default.
- W4380849092 cites W2064675550 @default.
- W4380849092 cites W2152195021 @default.
- W4380849092 cites W2912036663 @default.
- W4380849092 cites W4377943931 @default.
- W4380849092 doi "https://doi.org/10.1051/shsconf/202317003019" @default.
- W4380849092 hasPublicationYear "2023" @default.
- W4380849092 type Work @default.
- W4380849092 citedByCount "0" @default.
- W4380849092 crossrefType "journal-article" @default.
- W4380849092 hasAuthorship W4380849092A5045527959 @default.
- W4380849092 hasAuthorship W4380849092A5078487642 @default.
- W4380849092 hasBestOaLocation W43808490921 @default.
- W4380849092 hasConcept C11413529 @default.
- W4380849092 hasConcept C115961682 @default.
- W4380849092 hasConcept C126255220 @default.
- W4380849092 hasConcept C154945302 @default.
- W4380849092 hasConcept C178009071 @default.
- W4380849092 hasConcept C186661526 @default.
- W4380849092 hasConcept C2221639 @default.
- W4380849092 hasConcept C2524010 @default.
- W4380849092 hasConcept C27438332 @default.
- W4380849092 hasConcept C33923547 @default.
- W4380849092 hasConcept C41008148 @default.
- W4380849092 hasConcept C50644808 @default.
- W4380849092 hasConcept C85617194 @default.
- W4380849092 hasConceptScore W4380849092C11413529 @default.
- W4380849092 hasConceptScore W4380849092C115961682 @default.
- W4380849092 hasConceptScore W4380849092C126255220 @default.
- W4380849092 hasConceptScore W4380849092C154945302 @default.
- W4380849092 hasConceptScore W4380849092C178009071 @default.
- W4380849092 hasConceptScore W4380849092C186661526 @default.
- W4380849092 hasConceptScore W4380849092C2221639 @default.
- W4380849092 hasConceptScore W4380849092C2524010 @default.
- W4380849092 hasConceptScore W4380849092C27438332 @default.
- W4380849092 hasConceptScore W4380849092C33923547 @default.
- W4380849092 hasConceptScore W4380849092C41008148 @default.
- W4380849092 hasConceptScore W4380849092C50644808 @default.
- W4380849092 hasConceptScore W4380849092C85617194 @default.
- W4380849092 hasLocation W43808490921 @default.
- W4380849092 hasOpenAccess W4380849092 @default.
- W4380849092 hasPrimaryLocation W43808490921 @default.
- W4380849092 hasRelatedWork W110672150 @default.
- W4380849092 hasRelatedWork W1973613972 @default.
- W4380849092 hasRelatedWork W2028663913 @default.
- W4380849092 hasRelatedWork W2063166054 @default.
- W4380849092 hasRelatedWork W2073479751 @default.
- W4380849092 hasRelatedWork W3120349973 @default.
- W4380849092 hasRelatedWork W4285420568 @default.
- W4380849092 hasRelatedWork W4328030910 @default.
- W4380849092 hasRelatedWork W4380849092 @default.
- W4380849092 hasRelatedWork W2101402470 @default.
- W4380849092 hasVolume "170" @default.
- W4380849092 isParatext "false" @default.
- W4380849092 isRetracted "false" @default.
- W4380849092 workType "article" @default.