Mineral Prediction based on Prototype Learning
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Updated
Jan 22, 2024 - Python
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multi-source-big-data
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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.
artificial-neural-network stochastic-gradient-descent backward-propagation computational-graph traffic-demand-estimation multi-source-big-data
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Updated
Apr 28, 2024 - Python
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