Metro OD Flow Prediction Based on Adaptive Feature Fusion Network - Code World

Metro OD Flow Prediction Based on Adaptive Feature Fusion Network

Enterprise 2023-08-15 20:29:05 views: null

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Origin blog.csdn.net/zuiyishihefang/article/details/130716905

Metro OD Flow Prediction Based on Adaptive Feature Fusion Network

Short-term passenger flow prediction for rail transit based on adaptive graph convolution network

YOLOv5, v7 Improvement 26: Improved Feature Fusion Network PANet is ASFF Adaptive Feature Fusion Network

Passenger flow prediction based on wavelet neural network, short-term passenger flow prediction based on wavelet neural network, passenger flow prediction based on ANN

Multi-class prediction based on adaptive genetic algorithm to optimize BP neural network, multi-class prediction based on GA-BP

Short-term OD Passenger Flow Prediction of Urban Rail Transit under Partial Observability Based on Deep Learning

Classification prediction | MATLAB realizes data multi-feature classification prediction based on Attention-GRU (gated recurrent unit fusion attention mechanism classification prediction, including confusion matrix diagram and classification diagram)

Demand prediction of urban online car-hailing based on multiple spatio-temporal information fusion network

Attention-based traffic flow prediction with spatio-temporal graph convolutional network

Multivariate classification prediction | Matlab based on TSOA-CNN-GRU-Attention Transit optimized convolutional neural network combined with gated recurrent unit fusion attention mechanism for data classification prediction

Classification prediction | Matlab implements data classification prediction based on MIC-BP-Adaboost maximum mutual information coefficient data feature selection algorithm combined with Adaboost-BP neural network

Model Fusion and Prediction Fusion

Regression prediction | MATLAB implements multi-input single-output regression prediction based on SVM-RFE-BP support vector machine recursive feature elimination feature selection algorithm combined with BP neural network

Multidimensional time series prediction | Matlab based on ZOA-GRU-Attention multivariate time series 24 steps ahead regression prediction algorithm, Zebra optimized gated recurrent unit network fusion attention mechanism regression prediction algorithm

Multimodal feature fusion based on RGB-D images

Population Prediction Based on BP Neural Network

Improvement of Detection and Segmentation Algorithm (Part 2) Residual Feature Augmentation (RFA Module) and Adaptive Spatial Fusion (ASF Module)

Classification prediction | MATLAB implements GRNN generalized regression neural network multi-feature classification prediction

[SVM prediction] Matlab source code based on SVM and LSR traffic flow prediction

Optical Flow Estimation Based on Spatial Pyramid Network

Attentional Feature Fusion attention feature fusion

Fusion Strategy of Prediction Results

Multi-category prediction based on wavelet neural network, classification prediction based on ANN

Intelligent Traffic Flow Prediction and Optimization Based on Semi-Supervised Learning: Based on Sensors and Control

【读论文】Real-time infrared and visible image fusion network using adaptive pixel weighting strategy

User credit card default prediction based on machine learning lightgbm algorithm Cluster analysis, feature screening, data analysis, default prediction

Fuel consumption prediction based on TensorFlow (fully connected neural network)

Spatio-temporal prediction based on graph neural network

Matlab Simulation of LSTM Network Data Prediction Based on PSO Optimization

CNN-LSTM Stock Price Prediction Based on Bayesian Network

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