首次提出混凝土强度预测与设计的神经网络方法。对普通混凝土、高强混凝土等多种混凝土建立了表现混凝土强度因果规律的神经网络方法，在已有混凝土试验资料基础上，进行了强度预测。与通用的回归分析方法所得结果对比，神经网络方法精度较高。通过实例给出了应用神经网络方法的强度预测结果。表明神经网络是混凝土强度，特别是高强混凝土强度预测和设计的崭新途径 For the first time proposed neural network method of concrete strength prediction and design. The neural network method to show the causality law of concrete strength is established for many kinds of concrete such as ordinary concrete and high strength concrete. Based on the test data of existing concrete, the strength prediction is carried out. Compared with the general regression analysis method, the neural network method has higher accuracy. An example is given to predict the strength of the neural network method. It shows that neural network is a new way to predict and design the strength of concrete, especially the strength of high strength concrete