AIMC Topic: Forecasting

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Multi-input multi-output temporal convolutional network for predicting the long-term water quality of ocean ranches.

Environmental science and pollution research international Sep 1, 2022
The prediction of water quality parameters is of great significance to the control of marine environments and provides a scientific decision-making basis for maintaining the stability of water environments and ensuring the normal survival and growth ...
Neural Networks, Computer Forecasting Oxygen Water Quality Oceans and Seas
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Air quality index forecast in Beijing based on CNN-LSTM multi-model.

Chemosphere Sep 1, 2022
Accurate predicting the air quality trend can provide a theoretical basis for environmental protection management and decision-making. This study proposed the convolutional neural networks-long short-term memory (CNN-LSTM) model, which was proposed t...
Neural Networks, Computer Forecasting Air Pollution Beijing
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Evaluation of Three Feature Dimension Reduction Techniques for Machine Learning-Based Crop Yield Prediction Models.

Sensors (Basel, Switzerland) Sep 1, 2022
Machine learning (ML) has been widely used worldwide to develop crop yield forecasting models. However, it is still challenging to identify the most critical features from a dataset. Although either feature selection (FS) or feature extraction (FX) t...
Neural Networks, Computer Machine Learning Algorithms Forecasting Support Vector Machine
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Deep learning for twelve hour precipitation forecasts.

Nature communications Sep 1, 2022
Existing weather forecasting models are based on physics and use supercomputers to evolve the atmosphere into the future. Better physics-based forecasts require improved atmospheric models, which can be difficult to discover and develop, or increasin...
Neural Networks, Computer Forecasting Computer Simulation Deep Learning Weather
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Stock Portfolio Optimization Using a Combined Approach of Multi Objective Grey Wolf Optimizer and Machine Learning Preselection Methods.

Computational intelligence and neuroscience Aug 29, 2022
The present paper deals with optimizing the stock portfolio of active companies listed on the Tehran Stock Exchange based on the forecast price. This paper is based on a combination of different filtering methods such as optimization of trading rules...
Machine Learning Algorithms Forecasting Support Vector Machine Iran
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Human Resource Demand Prediction and Configuration Model Based on Grey Wolf Optimization and Recurrent Neural Network.

Computational intelligence and neuroscience Aug 27, 2022
Business development is dependent on a well-structured human resources (HR) system that maximizes the efficiency of an organization's human resources input and output. It is tough to provide adequate instructions for HR's unique task. In a time when ...
Humans Neural Networks, Computer Forecasting Workforce Commerce
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Stepwise decomposition-integration-prediction framework for runoff forecasting considering boundary correction.

The Science of the total environment Aug 26, 2022
Predicting river runoff accurately is of substantial significance for flood control, water resource allocation, and basin ecological dispatching. To explore the reasonable and effective application of time series decomposition in runoff forecasting, ...
Neural Networks, Computer Forecasting Reproducibility of Results Water Water Resources
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An Improved Load Forecasting Method Based on the Transfer Learning Structure under Cyber-Threat Condition.

Computational intelligence and neuroscience Aug 24, 2022
Smart grid is regarded as an evolutionary regime of existing power grids. It integrates artificial intelligence and communication technologies to fundamentally improve the efficiency and reliability of power systems. One serious challenge for the sma...
Artificial Intelligence Machine Learning Forecasting Learning Reproducibility of Results
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A Novel Forecasting Approach by the GA-SVR-GRNN Hybrid Deep Learning Algorithm for Oil Future Prices.

Computational intelligence and neuroscience Aug 21, 2022
It is hard to forecasting oil future prices accurately, which is affected by some nonlinear, nonstationary, and other chaotic characteristics. Then, a novel GA-SVR-GRNN hybrid deep learning algorithm is put forward for forecasting oil future price. F...
Neural Networks, Computer Forecasting Computer Simulation Deep Learning Support Vector Machine
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Neural Network Model of Dynamic Prediction of Cross-Border E-Commerce Sales for Virtual Community Knowledge Sharing.

Computational intelligence and neuroscience Aug 21, 2022
The current popular one with forecasting method simply studies for prediction, and insufficient consideration is given to the prediction of the evolution of product sales applied to Internet platforms. To improve the forecast effect and to realize th...
Neural Networks, Computer Algorithms Forecasting Commerce
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