欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
准确地预测混凝土的实时强度对确保结构的安全使用有重要的作用，而影响混凝土强度的因素很多，且各种因素对混凝土强度的影响程度不同，所以在实际工程中对混凝土强度的预测比较复杂。通过人工神经网络及大量样本数据，阐述了人工神经网络强度预测模型的技术方案，有效结合多种影响因子，建立了评估预测系统。实测结果表明，预测准确率达到了96％以上，为混凝土更好地在工程上应用提供一定理论依据，且为今后人工神经网络理论进一步在结构工程中应用奠定了基础。
英文摘要：
Forecasting the concrete real-time strength truly has an important role in the structure to ensure the safety,but there are many factors to influence the concrete strength, and the influences is different, so in the actual engineering forecasting the concrete strength of is more complex.Based on the artificial neural network and a large number of sample data, it expounds the technical scheme of strength prediction model for the artificial neural network.The scheme combines with a lot of influence factors effectively and establishes the predictable evaluation system.The measured results show that the predictable accuracy is more than 96%, it provides the certain theoretical basis for using the concrete better in engineering,and also lays the foundation to apply the artificial neural network theory further in structure engineering for the future.
同期刊论文项目
同项目期刊论文
期刊信息
位置：