[PDF] Top 20 Research on Freeway Passenger Flow Prediction Based on Neural Network
Has 10000 "Research on Freeway Passenger Flow Prediction Based on Neural Network" found on our website. Below are the top 20 most common "Research on Freeway Passenger Flow Prediction Based on Neural Network".
Research on Freeway Passenger Flow Prediction Based on Neural Network
... BP neural network is one of the most typical and the most useful of artificial neural network, but there is not yet a very accurate and effective formula can directly get the structure of BP ... See full document
8
BP neural network based sports performance prediction model applied research
... use neural network algorithms’ relative strong self fault-tolerant ability and self-training learning ability as well as other good advantages to construct BP neural network model, carry out ... See full document
6
BP neural network based shot putters performance prediction research
... paper based on the thought, it utilizes neural network model to make prediction on shot putters, after stating BP neural network theory, and then combines it with practice, it ... See full document
6
Prediction Research of Heating Load in Residential Area Based on BP Neural Network
... the research on heating energy saving is especially important in China's building energy ...the prediction methods of heat load mainly include energy consumption simulation prediction method [2] , ... See full document
7
Neural network based athletics performance prediction optimization model applied research
... paper based on previous research results, it analyzes sports performance influence factors, and by three kinds of neural network prediction model’s mutual combination to predict sports ... See full document
8
Research on Railway Passenger Flow Prediction Method Based on GA Improved BP Neural Network
... BP neural network railway passenger traffic prediction model is not accurate for the prediction results for certain holidays, and has a large deviation from the real value, and the ... See full document
10
The Research of Low Earth Orbit Prediction of Satellite Based on Deep Neural Network
... orbit prediction is a basic requirement in satellite ...orbit prediction mainly depends on the dynamic ...deep neural network as a method of orbit prediction which can predict the ... See full document
9
Self organizing map and least square support vector machine method for river flow modelling
... Artificial Neural Network (ANN) model has become an alternative forecasting technique used to capture the problems that cannot be solved by using the ARIMA model (Dolling & Varas, ...river flow ... See full document
45
Prediction of Petroleum Price Using Back Propagation Artificial Neural Network Based on Chaotic Self-Adaptive Particle Swarm Algorithm
... traditional research methods. In recent years, artificial neural network is widely used in solving complex nonlinear problems, the researchers also proposed some neural network ... See full document
6
A Short Term Traffic Flow Prediction Based on Recurrent Neural Networks for Road Transportation Control in ITS
... traffic flow information is needed. Though, there have been lots of research and work being done on traffic predictions; still this field of research needs more ...different flow patterns ... See full document
5
Freight-Forward Agreement Time series Modelling Based on Artificial Neural Network Models
... Extensive literature in the shipping market and shipping derivatives [2] to [4] describe in detail the statistical and stochastic background of shipping derivatives, along with their uses regarding their pricing, and ... See full document
6
The Research of Urban Rail Transit Sectional Passenger Flow Prediction Method
... short-term prediction methods of sectional passenger flow, and selects BP neural network com- bined with the characteristics of sectional passenger flow ...the ... See full document
5
Review on Transformer Protection through Arti...
... the neural network based algorithm has more adaptability and is likely to be more accurate, various researchers used it for power system protection which is the main focus of this ... See full document
6
The Short term Prediction of Vehicle Speed of Urban Freeway Based on RBF Neural Network
... for prediction of traffic ...traffic flow series and employ the adaptive Kalman filtering approach to implement this SARIMA + GARCH ...short-term freeway traffic data during peak ...thereby ... See full document
6
Using Principal Component Analysis and Least Squares Support Vector Machine to Predict the Silicon Content in Blast Furnace System
... accurate prediction of furnace temperature and the linkage relationship be- tween furnace temperature, coal injection, air volume, air temperature and coke load are the key and difficult points in the modeling of ... See full document
14
Online Failure Prediction for Railway Transportation System based on Fuzzy Rules and Data Analytics
... failure prediction provides a way to actively manage ...future based on the assessment of the current state of the ...failure prediction need some pre-cautional knowledge, such as the model of the ... See full document
6
Experimental study on electricity price forec...
... for neural network. The performance of a trained network can be measured to some extent by the errors on the training, validation, and test sets, but it is often useful to investigate the ... See full document
7
Weekly Flow Prediction of Ergene River Using an Artificial Neural Network Based Solution Approach
... As can be seen from Figure 6, for the entire flow data, the calculated NS values are 0.94 and 0.77 for ANN and HEC-HMS, respectively. When data partitions are considered, the NS values for ANN and HEC-HMS models ... See full document
7
Recurrent Neural Network Based Narrowband Channel Prediction
... Abstract—In this contribution, the application of fully connected recur- rent neural networks (FCRNNs) is investigated in the context of narrow- band channel prediction. Three different algorithms, namely ... See full document
5
VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System
... cases, while YOLOv3 was correct in more than 96% cases. The correctness of ROIs was determined based on an Inter- section Over Union (IOU) threshold with the ground truth labels. Further, forward pass on YOLOv3 is ... See full document
6
Related subjects