Matches in SemOpenAlex for { <https://semopenalex.org/work/W3105750503> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W3105750503 abstract "In the financial world, the forecasting of stock price gains significant attraction. For the growth of shareholders in a company’s stock, stock price prediction has a great consideration to increase the interest of speculators for investing money to the company. The successful prediction of a stock’s future cost could return noteworthy benefit. Different types of approaches are taken in forecasting stock trend in the previous years. In this research, a new stock price prediction framework is proposed utilizing two popular models; Recurrent Neural Network (RNN) model i.e. Long Short Term Memory (LSTM) model, and Bi-Directional Long Short Term Memory (BI-LSTM) model. From the simulation results, it can be noted that using these RNN models i.e. LSTM, and BI-LSTM with proper hyper-parameter tuning, our proposed scheme can forecast future stock trend with high accuracy. The RMSE for both LSTM and BI-LSTM model was measured by varying the number of epochs, hidden layers, dense layers, and different units used in hidden layers to find a better model that can be used to forecast future stock prices precisely. The assessments are conducted by utilizing a freely accessible dataset for stock markets having open, high, low, and closing prices." @default.
- W3105750503 created "2020-11-23" @default.
- W3105750503 creator A5035953727 @default.
- W3105750503 creator A5044735308 @default.
- W3105750503 creator A5065659905 @default.
- W3105750503 date "2020-10-24" @default.
- W3105750503 modified "2023-10-10" @default.
- W3105750503 title "Deep Learning-Based Stock Price Prediction Using LSTM and Bi-Directional LSTM Model" @default.
- W3105750503 cites W2029803196 @default.
- W3105750503 cites W2064675550 @default.
- W3105750503 cites W2157331557 @default.
- W3105750503 cites W2163349176 @default.
- W3105750503 cites W2209610041 @default.
- W3105750503 cites W2368473301 @default.
- W3105750503 cites W2484524103 @default.
- W3105750503 cites W2489292218 @default.
- W3105750503 cites W2510046892 @default.
- W3105750503 cites W2545073277 @default.
- W3105750503 cites W2561559620 @default.
- W3105750503 cites W2572939427 @default.
- W3105750503 cites W2769821182 @default.
- W3105750503 cites W2774513877 @default.
- W3105750503 cites W2801361534 @default.
- W3105750503 cites W2888798257 @default.
- W3105750503 cites W2897722020 @default.
- W3105750503 cites W2963059228 @default.
- W3105750503 cites W2963309363 @default.
- W3105750503 doi "https://doi.org/10.1109/niles50944.2020.9257950" @default.
- W3105750503 hasPublicationYear "2020" @default.
- W3105750503 type Work @default.
- W3105750503 sameAs 3105750503 @default.
- W3105750503 citedByCount "65" @default.
- W3105750503 countsByYear W31057505032021 @default.
- W3105750503 countsByYear W31057505032022 @default.
- W3105750503 countsByYear W31057505032023 @default.
- W3105750503 crossrefType "proceedings-article" @default.
- W3105750503 hasAuthorship W3105750503A5035953727 @default.
- W3105750503 hasAuthorship W3105750503A5044735308 @default.
- W3105750503 hasAuthorship W3105750503A5065659905 @default.
- W3105750503 hasConcept C108583219 @default.
- W3105750503 hasConcept C119857082 @default.
- W3105750503 hasConcept C127313418 @default.
- W3105750503 hasConcept C127413603 @default.
- W3105750503 hasConcept C143724316 @default.
- W3105750503 hasConcept C151730666 @default.
- W3105750503 hasConcept C154945302 @default.
- W3105750503 hasConcept C204036174 @default.
- W3105750503 hasConcept C28490314 @default.
- W3105750503 hasConcept C2988984586 @default.
- W3105750503 hasConcept C41008148 @default.
- W3105750503 hasConcept C78519656 @default.
- W3105750503 hasConceptScore W3105750503C108583219 @default.
- W3105750503 hasConceptScore W3105750503C119857082 @default.
- W3105750503 hasConceptScore W3105750503C127313418 @default.
- W3105750503 hasConceptScore W3105750503C127413603 @default.
- W3105750503 hasConceptScore W3105750503C143724316 @default.
- W3105750503 hasConceptScore W3105750503C151730666 @default.
- W3105750503 hasConceptScore W3105750503C154945302 @default.
- W3105750503 hasConceptScore W3105750503C204036174 @default.
- W3105750503 hasConceptScore W3105750503C28490314 @default.
- W3105750503 hasConceptScore W3105750503C2988984586 @default.
- W3105750503 hasConceptScore W3105750503C41008148 @default.
- W3105750503 hasConceptScore W3105750503C78519656 @default.
- W3105750503 hasLocation W31057505031 @default.
- W3105750503 hasOpenAccess W3105750503 @default.
- W3105750503 hasPrimaryLocation W31057505031 @default.
- W3105750503 hasRelatedWork W2922457425 @default.
- W3105750503 hasRelatedWork W3014300295 @default.
- W3105750503 hasRelatedWork W3164822677 @default.
- W3105750503 hasRelatedWork W3215138031 @default.
- W3105750503 hasRelatedWork W4223943233 @default.
- W3105750503 hasRelatedWork W4225161397 @default.
- W3105750503 hasRelatedWork W4250304930 @default.
- W3105750503 hasRelatedWork W4299487748 @default.
- W3105750503 hasRelatedWork W4309045103 @default.
- W3105750503 hasRelatedWork W4312200629 @default.
- W3105750503 isParatext "false" @default.
- W3105750503 isRetracted "false" @default.
- W3105750503 magId "3105750503" @default.
- W3105750503 workType "article" @default.