BP神经网络在建筑工程资源分配中的应用

Application of BP neural network in resources allocation of construction project

目前,对建设工程在优化资源的原则下进行进度控制时,大部分研究人员通常采用对资源平均化的方法进行优化。这种方法虽然简单易行,但是与事实情况脱节,从而大大削弱了它在实际生活中所起到的作用。由于现实中大部分工程所需资源量随工程进度变化显正态分布,故以此为前提,通过神经网络法确定一般性工程的一组资源需求量,从而确定资源需求量的分布函数,为建筑工程过程中的资源分配提供一种更符合实际的方法。

At present,when the progress control of the construction projects is carried out under the principle of optimizing resources,most of the researchers usually adopt the equalization method for resources optimization.Although this method is simple and practicable,it often comes apart from the actual condition and its role in actual life is weakened significantly. As in reality most of the resources needed for the project change with the progress indicating normal distribution,thus based on this premise,a group of resources demand for general projects are determined through the neural network method,and then the distribution function of resources demand is determined,providing a more practical method for resources allocation of constructional projects.