The BP model defines the technical framework to align business specifications with it development.
BP模型定义了技术框架来将业务规范和IT开发联系起来。
The BP analyst works with the BP owners and domain experts to get all of the information required to build the BP model.
BP分析员与BP所有者及领域专家协作来获取所需的全部信息以构建BP模型。
The fifth chapter of the thesis has set up the BP model in order to forecast the security stocks, and has educated the model and evaluated the forecast result.
第五章的内容主要围绕分析型库存管理系统的数据挖掘模型而展开，建立了用以预测安全库存量的BP神经网络模型，并对模型进行了训练和预测结果的评价。
Through the simulation, the following conclusions can be drawn. Sawing power and sawing force could be simulated within 20% error by the BP model which was well-trained.
通过仿真发现：BP网络模型经过训练后，锯切功率和锯切力仿真值与实验值的误差在20%以内。
The BP algorithm of Artificial Neural Networks and lots of experimental samples were used in training the BP model which succeeded in diagnosing four kinds of operational status.
应用神经网络的误差反向传播算法(BP)和大量的实测数据样本训练出了能在线诊断四种加工状态的BP模型并成功地诊断了实际加工状态。
For example, the analyst gathers roles, tasks, sequence information, resources, data, narratives, requirements, and so on using appropriate tools and uses them as input to construct the BP model.
例如，分析员使用适当的工具收集角色、任务、序列信息、资源、数据、叙述、需求，等等，并将它们作为构建BP模型的输入内容。
Modeling includes the decomposition of a BP into sub-processes and adding required process elements to the model.
建模包括将 BP分解成子流程并将所需的流程元素添加到模型中。
In later steps of the modeling process, you will see how to create service invoke tasks in a BP model.
在为流程建模的后面几个步骤中，您将看到如何在BP模型中创建服务调用任务。
Another model, the "Oorja", developed by BP and the Indian Institute of Science, has an integrated battery-powered fan to direct air to wood pellets in the combustion chamber, improving efficiency.
另一个模型，“Oorja”，由BP和印度科学院开发，拥有一个内置的电池驱动风扇来使空气对准燃烧室内的木球，从而提高效能。
Based on expatiated the basic structure model and some general improved algorithms of BP neural network, this paper brings forward a new self-organization learning algorithm.
介绍了BP网络的基本结构模型与常见改进算法，在此基础上提出了一种新型的结构自组织BP网络算法。
Based on the powerful nonlinear reflection and training function of artificial neural networks, the model of BP neural network for foundation piles integrity testing is put forward.
利用人工神经网络强大的非线性映射能力和学习训练功能，提出了基于BP网络的基桩完整性检测模型。
The effectiveness of BP model for hydrologic series prediction is verified by computation of practical examples.
结合实例分析计算，论证了BP网络模型对水文预测的有效性。
Such as the return of specific prediction method, smoothing index, grey model prediction, BP neural network, RBF neural network .
具体如回归预测法、指数平滑法、灰色模型预测法、BP神经网络法、RBF神经网络法。
The result show that the developed BP model is advanced, can satisfy the requirement of engineering in practice and is a new effective method for prediction.
研究结果表明，改进的BP网络性能良好，所建立的模型预测精度高，能满足工程要求，是一种有效可行的预测新方法。
Experimental results show that the converging speed of this network model is faster than the traditional BP network and this model has a good practicability.
试验结果表明，该网络模型的收敛速度比一般BP网络有了很大提高，具有很好的实用性。
Based on the application of artificial neural network principle, this paper presents a BP artificial neural network model for aeromagnetic information connection.
应用人工神经网络方法，以航磁数据为样本，建立了航磁信息关联的BP人工神经网络模型。
The convergence speed of region mapping model is faster than that of BP neural network, and the model has a good identification ratio.
模型从根本上保证了分类准则与训练准则的一致性，具有比BP网络更快的训练速度和更高的识别率。
The bearing life forecast model based on BP network is researched. The multi step and multi feature forecasts can be realized concurrently.
试图用BP神经网络建立轴承寿命预测模型，并在该模型上进行多特征参数和多步预测方法的研究。
The digital image recognition mathematic model that based on the BP networks provided a reference to the process of digital image.
作者所建立的基于BP神经网络的“图象识别”数学模型对数字图象处理也具有一定的参考价值。
The BP neural network used the wear-self-compensation mathematics model of the relationship of tribology characteristic with load of the heavy load screw-nut pairs was established.
用BP人工神经网络建立了重载丝杆螺母副的摩擦学特性与载荷之间关系的磨损自补偿数学模型。
The research on load prediction model of air - conditioning system based on BP neural network has been done.
对用BP网络进行逐时空调负荷预报的建模方法进行了研究。
The BP neural network based reservoir model provides the same result as that of FMI and core analysis.
用BP网络建立识别储集类型模型，识别结果与成像测井识别结果和岩心分析结果吻合。
Based on the BP (back propagation) model for excitation characteristics of transformer, a modified BP model is presented and the corresponding algorithm is also deduced.
在变压器励磁特性的BP模型基础上，提出了一种修正的BP模型，并推导了相应的算法。
The results of emulating practical wastewater treatment process of the network model show that the BP neural network has a strong learning capability.
该网络模型仿真实际废水处理过程的结果表明，BP神经网络具有很强的学习能力。
Based on the explanation on principle of artificial neural network, the BP network model for reservoir operation rules is established.
阐述了人工神经网络的基本原理，提出了建立水库优化调度函数的BP网络模型。
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。
The t-test result showed that the prediction value agreed with the observation data fairly well and the BP neural network model had rather high prediction precision.
t检验结果表明，BP神经网络训练和预测得到的模拟值与实测值之间吻合很好，该方法具有较高的预测精度。
The artificial neural network technique is applied to the calculation of runoff amount. The BP network model is set up for the calculation of runoff amount.
将人工神经网络技术应用于径流水量还原计算，建立起径流水量还原计算的BP网络模型。
The artificial neural network technique is applied to the calculation of runoff amount. The BP network model is set up for the calculation of runoff amount.
将人工神经网络技术应用于径流水量还原计算，建立起径流水量还原计算的BP网络模型。
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