Matches in SemOpenAlex for { <https://semopenalex.org/work/W1567893681> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W1567893681 endingPage "81" @default.
- W1567893681 startingPage "63" @default.
- W1567893681 abstract "Stock market prediction is a complex and tedious task that involves the processing of large amounts of data, that are stored in ever growing databases. The vacillating nature of the stock market requires the use of data mining techniques like clustering for stock market analysis and prediction. Genetic algorithms and neural networks have the ability to handle complex data. In this paper, we propose a fuzzy based neuro-genetic algorithm - Fuzzy based Evolutionary Approach to Self Organizing Map(FEASOM) to cluster stock market data. Genetic algorithms are used to train the Kohonen network for better and effective prediction. The algorithm was tested on real stock market data of companies like Intel, General Motors, Infosys, Wipro, Microsoft, IBM, etc. The algorithm consistently outperformed regression model, backpropagation algorithm and Kohonen network in predicting the stock market values." @default.
- W1567893681 created "2016-06-24" @default.
- W1567893681 creator A5066168365 @default.
- W1567893681 creator A5067392303 @default.
- W1567893681 creator A5087562471 @default.
- W1567893681 date "2006-06-09" @default.
- W1567893681 modified "2023-10-15" @default.
- W1567893681 title "An efficient fuzzy based neuro – genetic algorithm for stock market prediction" @default.
- W1567893681 cites W132716155 @default.
- W1567893681 cites W1493732149 @default.
- W1567893681 cites W1586335931 @default.
- W1567893681 cites W1607867898 @default.
- W1567893681 cites W1981407057 @default.
- W1567893681 cites W2027212376 @default.
- W1567893681 cites W2044861704 @default.
- W1567893681 cites W2092192451 @default.
- W1567893681 cites W2121224351 @default.
- W1567893681 cites W3125354470 @default.
- W1567893681 cites W603291999 @default.
- W1567893681 cites W2624368605 @default.
- W1567893681 doi "https://doi.org/10.3233/his-2006-3201" @default.
- W1567893681 hasPublicationYear "2006" @default.
- W1567893681 type Work @default.
- W1567893681 sameAs 1567893681 @default.
- W1567893681 citedByCount "9" @default.
- W1567893681 countsByYear W15678936812013 @default.
- W1567893681 countsByYear W15678936812014 @default.
- W1567893681 countsByYear W15678936812020 @default.
- W1567893681 crossrefType "journal-article" @default.
- W1567893681 hasAuthorship W1567893681A5066168365 @default.
- W1567893681 hasAuthorship W1567893681A5067392303 @default.
- W1567893681 hasAuthorship W1567893681A5087562471 @default.
- W1567893681 hasConcept C111168008 @default.
- W1567893681 hasConcept C119857082 @default.
- W1567893681 hasConcept C124101348 @default.
- W1567893681 hasConcept C151730666 @default.
- W1567893681 hasConcept C154945302 @default.
- W1567893681 hasConcept C155032097 @default.
- W1567893681 hasConcept C2776256503 @default.
- W1567893681 hasConcept C2780299701 @default.
- W1567893681 hasConcept C2780762169 @default.
- W1567893681 hasConcept C41008148 @default.
- W1567893681 hasConcept C50644808 @default.
- W1567893681 hasConcept C58166 @default.
- W1567893681 hasConcept C73555534 @default.
- W1567893681 hasConcept C86803240 @default.
- W1567893681 hasConcept C8880873 @default.
- W1567893681 hasConceptScore W1567893681C111168008 @default.
- W1567893681 hasConceptScore W1567893681C119857082 @default.
- W1567893681 hasConceptScore W1567893681C124101348 @default.
- W1567893681 hasConceptScore W1567893681C151730666 @default.
- W1567893681 hasConceptScore W1567893681C154945302 @default.
- W1567893681 hasConceptScore W1567893681C155032097 @default.
- W1567893681 hasConceptScore W1567893681C2776256503 @default.
- W1567893681 hasConceptScore W1567893681C2780299701 @default.
- W1567893681 hasConceptScore W1567893681C2780762169 @default.
- W1567893681 hasConceptScore W1567893681C41008148 @default.
- W1567893681 hasConceptScore W1567893681C50644808 @default.
- W1567893681 hasConceptScore W1567893681C58166 @default.
- W1567893681 hasConceptScore W1567893681C73555534 @default.
- W1567893681 hasConceptScore W1567893681C86803240 @default.
- W1567893681 hasConceptScore W1567893681C8880873 @default.
- W1567893681 hasIssue "2" @default.
- W1567893681 hasLocation W15678936811 @default.
- W1567893681 hasOpenAccess W1567893681 @default.
- W1567893681 hasPrimaryLocation W15678936811 @default.
- W1567893681 hasRelatedWork W1690327809 @default.
- W1567893681 hasRelatedWork W2000474643 @default.
- W1567893681 hasRelatedWork W2971131818 @default.
- W1567893681 hasRelatedWork W3072889790 @default.
- W1567893681 hasRelatedWork W3133244161 @default.
- W1567893681 hasRelatedWork W3188429639 @default.
- W1567893681 hasRelatedWork W3216383863 @default.
- W1567893681 hasRelatedWork W4225320764 @default.
- W1567893681 hasRelatedWork W4291178314 @default.
- W1567893681 hasRelatedWork W2339629819 @default.
- W1567893681 hasVolume "3" @default.
- W1567893681 isParatext "false" @default.
- W1567893681 isRetracted "false" @default.
- W1567893681 magId "1567893681" @default.
- W1567893681 workType "article" @default.