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GitHub / LiYan-97 / CG_SF64
This code uses computational graph and neural network to solve the five-layer traffic demand estimation in Sioux Falls network. It also includes comparison of models and 10 cross-validations.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LiYan-97%2FCG_SF64
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 8.32 MB
Dependencies: pending
Created: 10 months ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago
Topics: artificial-neural-network, backward-propagation, computational-graph, multi-source-big-data, stochastic-gradient-descent, traffic-demand-estimation