深度学习预测智能城市停车场剩余车位
本项目基于从伯明翰市议会 NCP 运营的伯明翰停车场收集的数据，利用深度学习预测智能城市停车场剩余车位。本项目采用WaveNet模型，该模型引入扩张的因果卷积层来处理时间数据，并学习到长期序列趋势关系。结果表明，该模型在Parking Birmingham Data Set数据集上有着显著的效果，预测误差小。
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