A new method of estimating the parameters in B-P model is presented. The computational results indicate that the accuracy and efficiency of the new method are improved.
提出了B - p本构模型材料参数估计的新方法，算例分析表明，该新方法提高了参数估计的精度和效率。
Then, as artificial neural network is better in constructing financial prewarning model than other linear and regression models, a new financial prewarning model based on B-P model was constructed.
然后，利用人工神经网络在建立财务预警模型方面优于其他线性和回归模型的特点，基于B - P模型构建了一个新的混合财务预警模型。
The B-PRL with lactigenous volume showed linear correlation in normal group, model group and treatment group(P<0.01) .
正常组、模型组和治疗组的大PRL与其泌乳量呈线性相关（P＜0．01）。
Mono-amine oxidase B was more in model group than in the other groups (P< 0.01).
模型组B型单胺氧化酶活性明显高于其他各组（P<0.01）。
The assessment model of atmospheric environment quality of city using B-P artificial neural network is proposed.
应用人工神经网络理论，建立了城市大气环境质量的B - P网络评价模型。
In order to evaluate environmental quality, this paper proposed the B-P decision model for environmental quality by using artificial neural network method.
为了对环境质量进行综合评价，运用误差反向传播算法的人工神经网络方法建立了环境质量评价的B - P决策模型。
All the data used are taken on-the-spot, and the B-P learning algorithm is adopted, then a new way to establish the model of rolling pressure is explored.
所用数据全部取自现场，采用B - P学习算法，为轧制压力建模探索了一种新的途径。
This paper introduces the time series AR (p) self-regression model. and how to apply it to predict the output of B. F. gas in Iron and Steel Works.
本文介绍了时间序列ar (P)自回归模型以及如何利用它来预测高炉煤气的产量。
This paper introduces the time series AR (p) self-regression model. and how to apply it to predict the output of B. F. gas in Iron and Steel Works.
本文介绍了时间序列ar (P)自回归模型以及如何利用它来预测高炉煤气的产量。
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