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- Finally, a BP neural network model to predict the accuracy of the workpiece during the ECM was established. 用试验参数对模型结构进行训练 ;最终建立了一个用于电解加工精度预测的BP神经网络模型 .
- This text expatiates the application of BP neural network model in the synthetic valuation of the same kind weapon. 该文阐述了BP神经网络模型在同类武器装备综合评估中的运用。
- Based on map of Mahalanobis distance eigenface subspace is found out and a BP neural network model is constructed. 根据马氏距离图寻找特征脸子空间,构造出BP神经网络。
- The BP neural network model based on finite element simulation and AI technology can quickly and effectively predict the flanging formability. 有限元仿真与人工智能相结合的BP人工神经网络模型可以快速有效地预测翻边成形性。
- A BP neural network model is established based on the relationship between groundwater level and its influential factors to be used for the prediction of groundwater regime. 地下水系统是一个复杂的随机系统,本文根据地下水位与其影响因素之间存在的映射关系,建立了一个BP人工神经网络模型,并将其用于地下水位的动态预测。
- Examples prove that this method simplifies the BP neural network input variables, so as to shorten the neural network model of training time and improve the forecast performance. 实例证明该方法简化了BP神经网络的输入变量,从而缩短了神经网络模型的训练时间,提高了预测性能。
- After that,LAI mapping was conducted based on the BP neural network model,which was trained using the data of actual measurement and LUT.The results indicat... 结果表明,人工神经网络方法有很强的非线性拟合能力,能够消除背景对反演结果的影响,有效提高LAI反演的精度。
- BP neural network model for the study of constitutive relationship of the BT20 titanium alloy during hot deformation is constructed by the MATLAB program. 采用MATLAB程序建立BT20钛合金高温变形时流变应力的神经网络模型,利用该模型对其他一些热力学状态下材料的流变应力进行了预测。
- Based on nonlinear prediction ideas of reconstructing phase space,this paper presents a time delay BP neural network model,whose generalization is improved utilizing Bayesian regularization. 基于相空间重构的非线性预测思想,建立一个时滞的BP神经网络模型,采用贝叶斯正则化方法提高BP网络的泛化能力,区别于一般的预测方法,非线性预测不仅注重数据拟合和精度改进,而且能够反映被预测系统的非线性特征。
- The paper presented a BP neural network model to predict content of coalbed gas based on analyzing explored borehole data of No.13-1 coal bed of Panyi mine in Huainan coal mining area. 以淮南矿区潘一矿13-1煤层为研究对象,在分析勘探钻孔资料的基础上,确定了煤层埋深及厚度、顶底板岩性、地质构造和煤变质程度是影响煤层瓦斯含量的主要因素;
- After describing the principle of neural network and the design of BP neural network model, it still discusses the possibility of the method and the related result from an example. 在概述了神经网络的工作原理和BP网络模型的设计之后,通过举例更进一步说明此方法的可行性和预测效果。
- After factor analysis on financial data of China life insurance corporation, a three-level BP neural network model has been made to research and train its solvency, and evaluation has been gained. 在对中国人寿保险公司(国寿公司)财务比率数据进行因子分析后,用一个三层BP神经网络模型对偿付能力进行学习、训练,再利用训练好的模型进行检测评价,发现国寿公司偿付能力相对下降。
- Using back-propagation (BP) ANN and its advanced, a BP neural network model about flood forecasting is established based on of Huaihongxin River of considering the interzone inflow. 论文采用了BP神经网络及其改进方法,建立了考虑区间入流的怀洪新河河道洪水预报BP神经网络模型。
- BP neural network model is usually used model for wind speed forcast, and wavelet-clustering-neural network model is from the combination of wavelet and BP neural network technology. BP神经网络模型是风速预测中常用的模型之一,小波技术和BP神经网络结合,即为组合模型。
- Based on the analysis of influence factors of ETo, BP neural network models with different structure have been established. 研究中从多个影响因子分析出发,在此基础上,得到了ET_0不同因子BP神经网络模型,通过检验结果分析,得到这些模型的特点和适用范围。
- Under MATLAB Neural Networks Box Functions, 19 groups of the samples are trained, and the rest are used to test the reliability of the BP neural networks model. 采用MATLAB神经网络工具箱函数编程,对样本集中的19组数据进行了训练,剩余样本数据验证了BP神经网络模型的可靠度;
- This paper reviews some optimed methods of BP neural network models, and formulates the clas-sification of these methods. In addition, some related problems and further research work are suggested. 文中综述了BP神经网络模型的一些优化方法,并对这些方法进行了分析,最后提出了存在的问题和进一步的工作。
- A BP neural networks model based on chaotic phase space was used in forecasting the decomposition coefficient, and the predicted result used in calculating monthly runoff downscaling. 其次利用相空间BP神经网络模型对分解系数进行预测,并根据预测结果进行月径流量的降尺度计算。
- The BP Neural Network Model Used in Chain Lubrication of Motorcycle 摩托车链条润滑系统的BP神经网络模型
- improved BP neural networks model 改进BP神经网络模型