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利用人工神经网络模型对爆破块度进行预测,实验结果表明,该方法是完全可行的。通过对实验样本数据进行归一化处理后再对人工神经网络模型进行训练和预测,其预测精度会得到大大提高。
The artificial neural network model is used to predict the blasting degree. Experimental results show that this method is feasible. By normalizing the experimental sample data and then training and predicting the artificial neural network model, the prediction accuracy will be greatly improved.