似膏体充填料浆质量神经网络辩识

NEUROID IDENTIFICATION OF PASTE-LIKE BACKFILL PULP QUALITY

似膏体充填是一种新的胶结充填模式。料浆的质量至关重要。为了保证似膏体充填料浆的质量 ,本文提出了用BP神经网络对其进行辨识 ,通过辨识初步建立了似膏体充填料浆质量的隐式模型 ,该模型具有较强的拟合功能和预测能力 ,为优化似膏体充填料浆质量提供了理论支撑。

Paste-like backfill is a new method of cemented backfill.The pulp quality is of great importance.To ensure pulp quality,the backfill pulp quality is identified by BP neuroid.The implicit model of the paste-like backfill pulp quality is set up by identification.The model has a better fiting function and forecasting capacity,which provides a theoretical support for optimize the paste-like backfill pulp quality.