In the paper presents the predictive out of a new generalized predictive Control is corrected by the error predictive model based on a new excite function BP arithmetic.
本文提出基于新的激励函数BP算法建立误差预测模型，修正新型广义预测算法的预测输出。
This paper puts forward the ways of reliability prediction based on artificial neural networks, builds the three layers BP neural networks model, and presents its arithmetic in detail.
本文提出了基于人工神经网络的可靠性预测方法，建立了用于数控机床可靠性预测的三层BP神经网络模型，给出了具体的算法。
Owing to the complicated variable rule of CMMs geometry error, it's difficult to convergence for using common BP neural network model arithmetic with a slow velocity.
由于坐标测量机几何误差变化规律复杂，采用一般的BP神经网络模型算法，速度慢且难以收敛。
This paper proposed the model of BP neural network and its idiographic arithmetic, then applied it into the discrimination of the water source in mine.
利用BP算法对训练样本进行学习，确定判别模型，根据已训练好的神经网络对样本进行判别。结果表明，采用人工神经网络对矿井水源进行判别，能得到较好的结果。
Based on the research of the BP arithmetic and RBF arithmetic, the NN training and forecast model which is suitable for the environment-monitoring data is proposed.
通过对BP算法和RBF算法的研究，确定了适合环境监测数据COD值的神经网络训练与预测模型。
Based on the research of the BP arithmetic and RBF arithmetic, the NN training and forecast model which is suitable for the environment-monitoring data is proposed.
通过对BP算法和RBF算法的研究，确定了适合环境监测数据COD值的神经网络训练与预测模型。
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