long-term memory prediction
The Research of Low Earth Orbit Prediction of Satellite Based on Deep Neural Network
... orbit prediction, the long short-term memory neural network prediction is carried out based on the actual data of X, Y and Z coordinates of the satellite's geocentric inertial ...
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UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short Term Memory Neural Network
... In this paper we described our UWB deep-learning system created for the WASSA 2018 Implicit Emotion Shared Task. Our system uses Bidirec- tional Long Short-Term Memory (BiLSTM) with word embeddings ...
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Deep Long Short Term Memory Model for Stock Price Prediction using Technical Indicators
... Deep Long Short Term Memory (LSTM) model to achieve better prediction of stock market trends using correlated ...mean prediction accuracy of ...The prediction accuracy indicates ...
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Exponential Smoothing, Long Memory and Volatility Prediction
... the long memory case the filter weights have a interesting analytic form, resulting from the multipli- cation of coefficients decaying at a geometric rate (as in traditional ES) and correction factors that ...
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Bidirectional Long Short Term Memory based Recurrent Neural Networks for Air Quality Prediction: Case of Visakhapatnam
... effective prediction of air quality have been ...Bidirectional Long Short Term Memory (BI-LSTM) which considers both forward and backward dependencies to predict air quality of the city ...
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Word length effects in long-term memory
... In the introduction we suggested that the phonological loop account would predict the absence of word length effects in any of the tasks. Several facets of our results require a re-examination of this prediction. ...
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Prediction Of Stock Trend For Swing Trades Using Long Short-Term Memory Neural Network Model
... each memory cell of LSTM ...the Long Short-Term Memory Neural Network for the stock ...the prediction of stock only depends on the previous price movements and that too it is for the ...
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Building thermal load prediction through shallow machine learning and deep learning
... The long short term memory (LSTM) is a special form of RNN, which is designed to handle long sequential ...load prediction models, a natural question is: “Is there a particular ...
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Improving monsoon precipitation prediction using combined convolutional and long short term memory neural network
... precipitation prediction generally stem from the following aspects: (1) a model’s dynamical forcings are of limited resolution for making detailed representation of cloud microphysics; (2) we usually do not have ...
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VR Sickness Prediction for Navigation in Immersive Virtual Environments using a Deep Long Short Term Memory Model
... deep long short term memory (LSTM) network and build an network to characterize the user’s level of VR ...The long-term objective is to extend these results to larger cases and find ...
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Long Short-Term Memory with Dynamic Skip Connections
... years, long short-term memory (LSTM) has been successfully used to model sequential data of variable ...capturing long-term ...number prediction experiment, the pro- posed model ...
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Stock Prediction with Random Forests and Long Short-term Memory
... prices based on financial assets’ past behavior cannot achieve abnormal returns [23]. The reason for this is that the distribution function of a financial time series denotes a Brow- nian motion, which has random, ...
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Multivariate Time Serious Traffic Prediction Using Long Short Term Memory Network
... Short term traffic prediction is essential in the modern intelligent transportation ...traffic prediction. Long short term memory network (LSTM) is a time serious ...
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Stock Price Prediction using Long Short Term Memory
... consider long- term trading strategies as it fails to take the entire history of trends into account; furthermore, there is no provision for outlier ...
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Beyond the Beat: Towards Metre, Rhythm and Melody Modelling with Hybrid Oscillator Networks
... a Long Short-Term Memory network (LSTM) [9], a recurrent neural network, which is able to learn the kind of long-term temporal structures re- quired in music signal prediction ...
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Long term memory of past events in great apes
... for long periods of time spanning months and even years, that such memories can be enhanced by distinctiveness (irrespective of reinforcement), and follow a forgetting curve similar to ...on ...
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Effect of Negative Emotional Content on Working Memory and Long-Term Memory
... working memory and long-term memory likely result from their distinct neural ...working memory is thought to rely predominantly on prefrontal functions (Braver et ...working ...
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An intelligent recommender system based on short-term disease risk prediction for patients with chronic diseases in a telehealth environment
... the percentage of the actual medical tests that have been carried out in the past k days. If a test is skipped for a day, the actual reading will be missing and, as a result, the certainty and accuracy for risk ...
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Prediction of Electricity Consumption in Ghana: Long or Short Memory
... In Table 10, the cointegration equations are given along with the equation for changes in electricity consumption [first column, D(CON)], changes in Export (second column), changes in GDP (third column), changes in ...
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A Proposed Framework for Integration of Visualization Techniques and Active Learning Strategy in Wireless Communication Network
... Strategy and approaches of the visual representation of information is also essential to ensure effective use of information in long-term memory. Inappropriate use of strategies will lead to increase ...
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