Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387113929> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W4387113929 abstract "Wordle is currently a daily puzzle offered by the New York Times and is becoming increasingly popular. In this paper, we use machine learning algorithms to first classify word difficulty in Wordle into regular and difficult modes by clustering models. Then the percentage of the number of times a player guesses a word in Wordle is predicted by building a Whale Optimization Algorithm (WOA) to improve the Long Short Term Memory Neural Network (LSTM) model. Firstly, word attributes and user features are extracted and feature difference value weighting function is constructed; then, using word attributes-user features as input, LSTM model is established to forget and filter data through input gates, forgetting gates, output gates and memory nodes; by introducing WOA for parameter intelligent optimization solution, the accuracy and efficiency of LSTM model are improved. Seven WOA-LSTM neural network models were established to predict the percentage of the number of times a player guessed the right word for each future date, and the prediction model was determined to have high confidence through the range of various types of errors in the training set and test set. Finally, the uncertainty of the LSTM neural network model was illustrated through the data itself, the model, and the prediction." @default.
- W4387113929 created "2023-09-28" @default.
- W4387113929 creator A5029715801 @default.
- W4387113929 creator A5038478517 @default.
- W4387113929 creator A5066033580 @default.
- W4387113929 creator A5088150060 @default.
- W4387113929 date "2023-08-11" @default.
- W4387113929 modified "2023-09-29" @default.
- W4387113929 title "A Study on the Prediction of the Number of Correct Word Guesses by Optimized LSTM Based on Whale Algorithm" @default.
- W4387113929 cites W2969877590 @default.
- W4387113929 doi "https://doi.org/10.1109/icipca59209.2023.10257872" @default.
- W4387113929 hasPublicationYear "2023" @default.
- W4387113929 type Work @default.
- W4387113929 citedByCount "0" @default.
- W4387113929 crossrefType "proceedings-article" @default.
- W4387113929 hasAuthorship W4387113929A5029715801 @default.
- W4387113929 hasAuthorship W4387113929A5038478517 @default.
- W4387113929 hasAuthorship W4387113929A5066033580 @default.
- W4387113929 hasAuthorship W4387113929A5088150060 @default.
- W4387113929 hasConcept C106131492 @default.
- W4387113929 hasConcept C11413529 @default.
- W4387113929 hasConcept C119857082 @default.
- W4387113929 hasConcept C126838900 @default.
- W4387113929 hasConcept C138885662 @default.
- W4387113929 hasConcept C154945302 @default.
- W4387113929 hasConcept C159985019 @default.
- W4387113929 hasConcept C177264268 @default.
- W4387113929 hasConcept C183115368 @default.
- W4387113929 hasConcept C192562407 @default.
- W4387113929 hasConcept C199360897 @default.
- W4387113929 hasConcept C204323151 @default.
- W4387113929 hasConcept C2524010 @default.
- W4387113929 hasConcept C2776401178 @default.
- W4387113929 hasConcept C31972630 @default.
- W4387113929 hasConcept C33923547 @default.
- W4387113929 hasConcept C41008148 @default.
- W4387113929 hasConcept C41895202 @default.
- W4387113929 hasConcept C50644808 @default.
- W4387113929 hasConcept C58489278 @default.
- W4387113929 hasConcept C7149132 @default.
- W4387113929 hasConcept C71924100 @default.
- W4387113929 hasConcept C73555534 @default.
- W4387113929 hasConcept C90805587 @default.
- W4387113929 hasConceptScore W4387113929C106131492 @default.
- W4387113929 hasConceptScore W4387113929C11413529 @default.
- W4387113929 hasConceptScore W4387113929C119857082 @default.
- W4387113929 hasConceptScore W4387113929C126838900 @default.
- W4387113929 hasConceptScore W4387113929C138885662 @default.
- W4387113929 hasConceptScore W4387113929C154945302 @default.
- W4387113929 hasConceptScore W4387113929C159985019 @default.
- W4387113929 hasConceptScore W4387113929C177264268 @default.
- W4387113929 hasConceptScore W4387113929C183115368 @default.
- W4387113929 hasConceptScore W4387113929C192562407 @default.
- W4387113929 hasConceptScore W4387113929C199360897 @default.
- W4387113929 hasConceptScore W4387113929C204323151 @default.
- W4387113929 hasConceptScore W4387113929C2524010 @default.
- W4387113929 hasConceptScore W4387113929C2776401178 @default.
- W4387113929 hasConceptScore W4387113929C31972630 @default.
- W4387113929 hasConceptScore W4387113929C33923547 @default.
- W4387113929 hasConceptScore W4387113929C41008148 @default.
- W4387113929 hasConceptScore W4387113929C41895202 @default.
- W4387113929 hasConceptScore W4387113929C50644808 @default.
- W4387113929 hasConceptScore W4387113929C58489278 @default.
- W4387113929 hasConceptScore W4387113929C7149132 @default.
- W4387113929 hasConceptScore W4387113929C71924100 @default.
- W4387113929 hasConceptScore W4387113929C73555534 @default.
- W4387113929 hasConceptScore W4387113929C90805587 @default.
- W4387113929 hasLocation W43871139291 @default.
- W4387113929 hasOpenAccess W4387113929 @default.
- W4387113929 hasPrimaryLocation W43871139291 @default.
- W4387113929 hasRelatedWork W1544116139 @default.
- W4387113929 hasRelatedWork W2132592511 @default.
- W4387113929 hasRelatedWork W2283145973 @default.
- W4387113929 hasRelatedWork W2385431910 @default.
- W4387113929 hasRelatedWork W2391375650 @default.
- W4387113929 hasRelatedWork W2765134968 @default.
- W4387113929 hasRelatedWork W2899084033 @default.
- W4387113929 hasRelatedWork W2949707069 @default.
- W4387113929 hasRelatedWork W2961085424 @default.
- W4387113929 hasRelatedWork W4225492918 @default.
- W4387113929 isParatext "false" @default.
- W4387113929 isRetracted "false" @default.
- W4387113929 workType "article" @default.