AIMC Topic: Forecasting

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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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A hybrid model integrating long short-term memory with adaptive genetic algorithm based on individual ranking for stock index prediction.

PloS one Aug 17, 2022
Modeling and forecasting stock prices have been important financial research topics in academia. This study seeks to determine whether improvements can be achieved by forecasting a stock index using a hybrid model and incorporating financial variable...
Neural Networks, Computer Forecasting Wavelet Analysis
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Investigation of a Data Split Strategy Involving the Time Axis in Adverse Event Prediction Using Machine Learning.

Journal of chemical information and modeling Aug 16, 2022
Adverse events are a serious issue in drug development, and many prediction methods using machine learning have been developed. The random split cross-validation is the de facto standard for model building and evaluation in machine learning, but care...
Machine Learning Algorithms Forecasting Drug-Related Side Effects and Adverse Reactions Datasets as Topic
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Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models.

Sensors (Basel, Switzerland) Aug 16, 2022
To improve the monitoring of the electrical power grid, it is necessary to evaluate the influence of contamination in relation to leakage current and its progression to a disruptive discharge. In this paper, insulators were tested in a saline chamber...
Neural Networks, Computer Forecasting Time Factors Fuzzy Logic
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Application and Prospect Analysis of Artificial Intelligence in the Field of Physical Education.

Computational intelligence and neuroscience Aug 13, 2022
The development of AI technology has a significant impact on every sector of business. Artificial intelligence uses this technology to reduce the amount of work required, duplicate work, and increase the accuracy of work by modelling human behaviour ...
Humans Artificial Intelligence Forecasting Physical Education and Training
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Sparrow Search Algorithm-Optimized Long Short-Term Memory Model for Stock Trend Prediction.

Computational intelligence and neuroscience Aug 12, 2022
The long short-term memory (LSTM) network is especially suitable for dealing with time series-related problems, which has led to a wide range of applications in analyzing stock market quotations and predicting future price trends. However, the select...
Neural Networks, Computer Algorithms Forecasting China
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The role of deep learning in urban water management: A critical review.

Water research Aug 11, 2022
Deep learning techniques and algorithms are emerging as a disruptive technology with the potential to transform global economies, environments and societies. They have been applied to planning and management problems of urban water systems in general...
Wastewater Algorithms Forecasting Deep Learning Water
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