针对倒塌房屋瓦砾分布的模糊神经网络预测

房屋倒塌后的瓦砾分布范围与楼层层高、总层数、房屋重量等因素有关，具有一定的随机性，要精确预测其倒塌后的堆积物分布具有一定困难。而模糊神经网络系统的预测功能可以解决这一问题。本文作者结合模糊推理系统和辐射基函数网络，提出了建立多层前向神经网络模型，来输出倒塌房屋堆积物分布范围及平均高度的模糊预测系统。

Forecast the distributing of collapsed building with a blur neural network

The distributing area of collapsed building bears on some factors such as: the high,the weight,the layer number of building.Forecasting the distributing area of collapsed deposits is very difficult.Now,the blur artificial neural network can work out this problem.In this paper,a new NN former has been used to combine the blur reasoning system with the eradiate function neural network.The network model can be used to export the distributing area of deposits and average high of collapsed building with forming some predigesting multilayer neural network matrix.The formulas of whole import and export of blur network are very efficiency.