【摘要】 用BP神经网络的方法建立胶结充填材料质量与主要影响因素胶结剂、浓度、骨料、温度和粒级的关系模型 ,并用MATLAB实现对该模型的训练和系统仿真。不论用什么样的骨料和胶结剂 ,只要用一定的试验数据对模型进行训练 ,然后对拟采用的胶结充填材料进行仿真 ,均可得到较为可靠的目标参数。更多还原

【Abstract】 The model of the relationship between the binder backfill material quality and the main influencing factors such as binder, density, aggregate, temperature and fineness is established by the BP neural networks method and the relation model is trained and system simulation is implemented by MATLAB Whatever the aggregate and binder are used, the satisfied quality targets are achieved as long as training the model with certain experimental data before the system simulation on the adopted binder backfill materials更多还原