In this article a model is developed, based on neurocomputing, for predicting, with sufficient approximation, the compressive strength of cement conglomerates.

本文通过建立模型，以神经网络算法为基础来预测混凝土结构的抗压强度。

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And in the each adaptive subdivision, we choose the normal angle of the adjacent faces as the control error to detect whether the approximation is sufficient.

在自适应细分过程中，用相邻面片的法向夹角作为控制误差来反映细分的逼近程度是否足够；

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At last, a new definition of the rough degree is defined, and lower approximation has the same inequality and the same sufficient condition as upper approximation with the new definition.

最后，给出一个新的粗糙度定义，并证明在这种定义下，下近似具有与上近似一样的不等式及其充分条件。

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