So this article adopt PID control tuned by BP neural net.
因此，本文采用BP神经网络整定的PID控制。
It is possible that the BP neural net can be applied to the prediction of mechanic…
神经网络用于热镀锌过渡卷力学性能预测是可行的。
This paper presents a calculation model based on BP neural net to account the weight of a feature item in a document.
本文根据BP神经网络的函数逼近功能，针对文档特征项在文档中的权重，提出了一种基于BP神经网络的网络计算模型。
BP algorithm has aptitude and auto-learning characters, so my paper choose BP neural net algorithm to set up mail classification and recognition model.
BP算法具有智能性和自学习性的特点，因此，本文提出采用BP神经网络来构造邮件分类识别器。
BP neural net model is constructed to map the relationship of process variables and physical properties of products in fluidized bed spray granulation.
建立了反映流化床喷雾造粒过程参量同产品物性之间映射关系的BP神经网络模型。
A BP neural net model is constructed to map the relationship of process variables and physical properties of products in fluidized bed spray granulation.
建立了反映流化床喷雾造粒过程参量同产品物性之间映射关系的BP神经网络模型。
Lately, the forecast of the civil houses' safety by using BP neural net model and optimize of the blasting parameters will also be discussed in the dissertation.
利用BP神经网络模型对民房安全进行预测，并对爆破参数进行优化。
The reinforcement learning is adopted to control and decision for AUV, and Q-learning, BP neural net, artificial potential is integrated to avoidance planning for AUV.
主要采用强化学习的方法对AUV进行控制和决策，综合Q学习算法、BP神经网络和人工势场法对AUV进行避碰规划。
Aim at the discrepancy of classified capacity and stability of feature, this paper make use of BP neural net to remark and select above feature, pick out basic feature of cutting tool state.
针对特征分类性能和稳定性的差异，本文采用BP神经网络方法对上述特征进行评价和选择，挑选出刀具切削状态的基础特征。
The recognition with BP artificial neural net grader shows that the recognition rate of moment features is rather high, this indicates that this method has better applicable effect.
用BP人工神经网络分类器进行识别，结果表明矩特征的识别率较高，说明该方法具有良好的应用效果。
Methods and steps using the MATLAB neural net tool kit to design BP network are introduced in detail.
文章详细论述了利用MATLAB神经网络工具箱设计BP网络的方法和步骤。
The neural net adopts the improved BP net, a new method of determining the node number of optimum implication layer of neural net, and its correctness has been proved by a lot of facts.
神经网络采用改进的BP网络，提出的一种确定神经网络最优隐含层节点数的新方法，其正确性得到了大量事实的验证。
Training a multilayer neural net by BP algorithm is slow and it is difficult to choose the number of hidden units and layers in advance.
使用BP算法训练多层网络的速度很慢而且事先难于确定隐节点和隐层的适当数目。
The paper puts emphasis on the application of BP artificial neural net work model to evaluate the port enterprise supply chain risk. Then it studies on the risk handling and risk precaution.
重点是建立了港口企业供应链风险评估系统，运用BP人工神经网络模型评估供应链风险，研究了港口企业供应链的风险处理与防范措施。
Therefore, BP Artificial Neural Network was applied to assess the integrated environmental-economic attributes of industry pollution source and used MATLAB to design the net.
因此，确定选取BP人工神经网络对行业污染源进行综合评价，并通过MATLAB软件来实现。
Therefore, BP Artificial Neural Network was applied to assess the integrated environmental-economic attributes of industry pollution source and used MATLAB to design the net.
因此，确定选取BP人工神经网络对行业污染源进行综合评价，并通过MATLAB软件来实现。
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