Neural Network Model for Predicting the Performance of a Transport Task
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-33-6208-6_27
Reference11 articles.
1. Nakatsuji, T., Shibuya, S.: Neural network models to traffic flow problems. Neural Networks Transp. Appl., 249–262 (2019). https://doi.org/10.4324/9780429445286-12
2. Hussein, D., Rose, G.: The impact of data quantity on the performance of neural network freeway incident detection models. Neural Networks Transp. Appl., 311–340 (2019). https://doi.org/10.4324/9780429445286-15
3. Kim, J., Bukhari, W., Lee, M.: Feature analysis of unsupervised learning for multi-task. Convolutional Neural Network J. 783–797 (2018). https://doi.org/10.1007/s11063-017-9724-1
4. Profillidis, V.A., Botzoris, G.N.: Artificial intelligence-neural network methods. Modelling Transp. Demand, 353–382 (2019). https://doi.org/10.1016/b978-0-12-811513-8.00008-x
5. Pachomova, V.M., Konnov, M.S.: Research of two approaches to detect network attacks using neural network technologies. Sci. Transp. Progress, 81–93 (2020). https://doi.org/10.15802/stp2020/208233
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