[PDF] Top 20 Stock Price Prediction using Long Short Term Memory
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Stock Price Prediction using Long Short Term Memory
... real-time stock price ...for stock price prediction, we then decided to look at the existing systems [2], analyze the major drawbacks of the same, and see if we could improve upon ... See full document
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Deep Long Short Term Memory Model for Stock Price Prediction using Technical Indicators
... Abstract: Stock market trends forecast has always been one of the modern topics as well as a great confront in research due to its dynamic and volatile ...The stock data is usually non-stationary and ... See full document
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Stock Market Cost Forecasting by Recurrent Neural Network on Long Short Term Memory Model
... – Long Short-Term memory. LSTM introduces the memory cell, a unit of computation that substitutes conventional artificial neurons in the hidden layer of the ...these memory ... See full document
6
River Flow Forecasting Using Long Short term Memory
... To fix those issues, one of the most effective solutions is to use Long Short-Term Memory (LSTM). Proposed by Sepp Hochreiter and Jürgen Schmidhuber, LSTM models are mainly designed to avoid ... See full document
6
Engel curves for residential electricity
... Where H = residence size A = stock of electrical appliances The authors term price and income elasticities derived from the long run and short run specifications, as "total" and "partial[r] ... See full document
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Accurate Prediction of Streamflow Using Long Short-Term Memory Network: A Case Study in the Brazos River Basin in Texas
... basin using the digital elevation topography and the state-of-the-art deep learning framework, ...i.e. Long short-term memory network. Without using any generality, we applied ... See full document
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Chinese Relation Classification using Long Short Term Memory Networks
... just using the basic unit features from each feature space (sequence, syntactic and depen- dency relation) can achieve reasonably good performance, and adding more complex features may not benefit the re- ...and ... See full document
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Causality between stock prices and exchange rates: evidence from india
... in stock price but stock prices does not cause any movement in exchange ...tested using unit root test and Johansen’s co-integration ...no long term association between ... See full document
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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 ... See full document
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Anomaly Detection Using Predictive Convolutional Long Short-Term Memory Units
... Prototypes of the encoder-decoder and autoencoder networks that are only able to perform future prediction are evaluated on Bouncing MNIST data. The initial parameters selected for the preliminary future Conv-LSTM ... See full document
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Prediction Of Stock Trend For Swing Trades Using Long Short-Term Memory Neural Network Model
... when using a different and even opposite interpretation from the classic one and much greater losses in the reverse ...historical price data at the selected time ...the prediction, especially the ... See full document
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Multivariate Time Serious Traffic Prediction Using Long Short Term Memory Network
... congestion prediction based on traffic speed ...handle long term dependencies but theoretical evidence shows that it suffers from gradient descent problem when time lag increases [7] and it is ... See full document
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The Research of Low Earth Orbit Prediction of Satellite Based on Deep Neural Network
... Deep long-short memory neural network model is introduced into the study of satellite orbit prediction by this paper, to get rid of the dynamic model of the neural network ,and to carry on the ... See full document
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Detection and Recognition of Text for Dusty Image using Long Short Term Memory
... [20] Kwang In Kim, Keechul Jung, Jin Hyung Kim, “Texture- Based Approach for Text Detection in Images Using Support Vector Machines and Continuously Adaptive Mean Shift Algorithm”, IEEE Transactions on Pattern ... See full document
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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 ... See full document
11
Price Dynamics of Crude Oil in the Short and Long Term
... Futures price that is below the Spot ...for short hedging, and that the Gross Futures contract has become a producer contract which means that at the end consumers are not very present which converges ... See full document
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Prediction Using Back Propagation and k-Nearest Neighbour (k-NN) Algorithm
... Korea Stock Price Index 200 (KOSPI 200), in Sweden Hellestrom and Homlstrom (1998) used a geometric scrutiny based on a made to order k-NN to establish where associated fields plunge in the input space to ... See full document
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Nanoionics-Based Three-Terminal Synaptic Device Using Zinc Oxide
... access memory and other field effect transistor based synaptic ...demonstrated using fully transparent, ecofriendly inorganic materials chosen here show greater promise in realising scalable synaptic ... See full document
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Long Short Term Memory Networks for Machine Reading
... two baselines and the LSTM by a significant mar- gin. Amongst all deep architectures, the three-layer LSTMN also performs best. We can study the mem- ory activation mechanism of the machine reader by visualizing the ... See full document
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Nonparametric long term prediction of stock returns with generated bond yields
... Sperlich (2003) and allows for a direct comparison of the proposed model with the historical mean. An obvious problem is that the current bond yield is unknown. Thus, we have to predict it in a first step. Here, we also ... See full document
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