Bi-LSTM

Short-Term Traffic Speed Prediction Based on Spatio-Temporal Correlation Weighted LSTM

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Short-Term Traffic Speed Prediction Based on Spatio-Temporal Correlation Weighted LSTM

Author Information Liuyishi1, Guan Xuefeng1,2, Wu Huayi1,2, Cao Jun1, Zhang Na1 (1. Key Laboratory of Surveying and Mapping Remote Sensing Information Engineering, Wuhan University, Wuhan, Hubei 430079; 2. Collaborative Innovation Center of Geospatial Information Technology, Wuhan, Hubei 430079) “ AbstractA short-term traffic speed prediction model based on spatio-temporal correlation weighting using Long Short-Term Memory (LSTM) … Read more

Research on LSTM River Dissolved Oxygen Prediction Model Optimized by Attention Mechanism

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Research on LSTM River Dissolved Oxygen Prediction Model Optimized by Attention Mechanism

Click the blue words to follow us Research on theLSTM River Dissolved Oxygen Prediction Model Optimized by Attention Mechanism Zhou Quan1,2, Hu Xuanming3, Wang Dongkun3, Zhang Wucai1,2, Chen Zhongying1,2, Wang Jinpeng1,2, Wang Pengyang3*, Ren Xiuwen1,2* 1. South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou, Guangdong 510530 2. Key Laboratory of Water … Read more

Research on PDO Index Prediction Based on Multivariate LSTM Neural Network Model

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Research on PDO Index Prediction Based on Multivariate LSTM Neural Network Model

Research on PDO Index Prediction Based on Multivariate LSTM Neural Network Model Scroll up and down to read more content Abstract Using sea level pressure, sea level height, heat content data from 1921–2020, and sea ice concentration as forecasting factors for the Pacific Decadal Oscillation (PDO) index, a multivariate Long Short Term Memory (LSTM) neural … Read more

LSTM-Based Sentiment Classification Tutorial

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First, I recommend a Jupyter environment, which is provided by Google called colab (https://colab.research.google.com/), where you can use free GPUs. The first time you use it, you need to download the relevant Python libraries in the experimental environment. !pip install torch!pip install torchtext!python -m spacy download en Our preliminary idea is to first input a … Read more

ARIMA/SARIMA vs LSTM: Ensemble Learning for Time Series

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ARIMA/SARIMA vs LSTM: Ensemble Learning for Time Series

Author: Sharmistha Chatterjee Translator: Chen Zhiyan Proofreader: Wu Jindi This article is approximately 5500 words, and it is recommended to read for 10+ minutes. This article discusses issues related to ensemble learning with simple ARIMA/SARIMA and LSTM time series. Sharmistha Chatterjee https://towardsdatascience.com/@sharmi.chatterjee Motivation The five most commonly used time series models in traditional time series … Read more

Innovative CNN-LSTM-Attention Model for High-Performance Predictions

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Innovative CNN-LSTM-Attention Model for High-Performance Predictions

Today, I would like to introduce a powerful deep learning model: CNN-LSTM-Attention! This model combines three different types of neural network architectures, fully exploiting the spatial and temporal information in the data. It not only captures the local features and long-term dependencies of the data but also automatically focuses on the most important parts of … Read more

Implementing Long Short-Term Memory (LSTM) Algorithm in Python

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Implementing Long Short-Term Memory (LSTM) Algorithm in Python

Case Introduction This case will demonstrate how to use Long Short-Term Memory (LSTM) to predict Boston housing prices. We will utilize the LSTM model from the Keras library to accomplish this task. By using historical housing price data, we will train the LSTM model to predict future housing prices. Algorithm Principles Long Short-Term Memory (LSTM) … Read more

Predicting Pop Music Trends Using LSTM Deep Learning

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Predicting Pop Music Trends Using LSTM Deep Learning

Source: Big Data Mining DT Data Analysis This article is 1500 words, suggested reading time 5 minutes. This article introduces the principles of LSTM networks and their application in the pop music trend prediction competition. Reply with the keyword“music” to download the complete code and dataset 1. Principles of LSTM Networks 1.1 Key Points LSTM … Read more

Understanding LSTM Neural Networks

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Understanding LSTM Neural Networks

Recurrent Neural Networks In traditional neural networks, the model does not pay attention to what information from the previous moment can be used for the next moment; it only focuses on the current moment’s processing. For example, if we want to classify the events that occur at each moment in a movie, knowing the events … Read more

Predict Stock Prices Using LSTM Machine Learning Model

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Predict Stock Prices Using LSTM Machine Learning Model

Hello everyone, I am Orange Brother! Today, we will look at how to use the LSTM model for stock price prediction and achieve automated trading through the Alpaca API. This code is mainly divided into the following key parts: importing necessary libraries, data preparation, model construction, model training, model loading and evaluation, and automated trading … Read more