Single and multi-step forecasting with univariate and multivariate inputs using TCN-GRU based on MATLAB. TCN (Temporal Convolutional Network) is a time series model based on convolutional neural networks. GRU (Gated Recurrent Unit) is a type of recurrent neural network unit, and the TCN-GRU prediction model combines TCN and GRU. The TCN layer is used for feature extraction and representation learning of time series data. The output of TCN is used as the input for GRU, leveraging GRU’s memory capabilities for further sequence modeling and prediction. The program has been debugged and can be run directly.
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MATLAB Learning and Sharing Theme
1 Improvement and Application of Intelligent Optimization Algorithms
Three-dimensional packing problem, departure order optimization, reservoir scheduling, production order scheduling, optimal logistics site selection, assembly line scheduling, facility layout optimization, optimal bus scheduling, charging station layout optimization, workshop layout optimization, pump combination problem, workshop scheduling problem, container ship loading optimization, visual field base station, drone site selection optimization
2 Signal Processing
Signal analysis, signal denoising, information enhancement, radar signal analysis, electromyography signal analysis, electroencephalography signal analysis, signal timing optimization, vibration noise signal processing
3 Machine Learning and Deep Learning
Convolutional neural networks, long short-term memory recurrent neural networks, support vector machines, least squares support vector machines, extreme learning machines, kernel extreme learning machines, Back Propagation neural networks, radial basis functions, width learning, deep belief networks, deep extreme learning machines, XGBOOST, wind power forecasting, photovoltaic forecasting, battery life prediction, traffic flow prediction, load forecasting, stock price prediction, PM2.5 concentration prediction, battery health status prediction, transformer fault diagnosis, rotating machinery fault diagnosis
4 Image Processing
Image fusion, image detection, image registration, image recognition, image segmentation, image stitching, image enhancement, image compressed sensing, image hiding, image evaluation
5 Path Planning
Traveling salesman problem, three-dimensional path planning for drones, vehicle collaborative drone path planning, drone collaboration, robot path planning, drone task allocation, grid map path planning, drone formation, vehicle routing problem, antenna linear array distribution optimization