【摘要】 基于自适应模糊神经推理系统,建立了混凝土碳化深度的预测模型。结合Matlab的特点,应用国内外280组试验和检测数据编程实现了对模型的训练,对含有不同参数的数据测验证明了模型的有效性。该模型可以同时考虑多种碳化方式以及尽可能多的影响因素,为混凝土碳化深度的预测提供了一个新的有效方法,同时为混凝土碳化预测方法的统一提供了新的途径。更多还原

【Abstract】 Adaptive neuro-fuzzy inference system was applied to set up a prediction model for concrete carbonization based on ANFIS. Combining with the characteristics of Matlab, a compiled computer program was used to test the presented model with 280 teams of data at home and abroad, and its validity was verified by the data which include different parameters. For the presented model, more types of carbonization and more influential factors can be considered synchronously.更多还原