The development of green construction that promoting conservation energy of resources for construction companies, and protecting the environment, is an important mean to deal with the global challenge of climate change and achieving sustainable development, and the green construction assessment works on the construction industry to implement sustainable development. On the basis of introducing the basic principle of BP artificial neural networks, this paper analyzes the superiorit y of BP artificial neural networks superiority in green construction evaluation compared with other evaluation methods. Through the establishment of fuzzy evaluation matrix, and using BP artificial neural networks to process data, and evaluate green construction objectively. Finally this evaluation model is applied to instances, and achieves satisfactory results.%发展绿色施工促进施工企业节约能源和资源、保护环境，是全球应对气候变化挑战、实现可持续发展的重要手段，而绿色施工评价对于建筑业落实可持续发展起到一定作用。本文在介绍BP人工神经网络基本原理的基础之上，分析了与其它评价方法相比，BP人工神经网络在绿色施工评价中的优越性。通过建立模糊评价矩阵，利用BP人工神经网络处理数据，较客观地对绿色施工进行评价。最后将此评价模型应用于实例，取得了令人满意的结果。
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