This paper uses GA-BP model to construct three-layer NN model.
本文应用GA-BP网络模型，建立了三层GA-BP神经网络模型。
Results indicate that the BP model is more reasonable and feasible.
结果表明，BP神经网络模型优于逐步回归模型。
IS-LM-BP model can illustrate such complicated circulation mechanism and its result.
借助IS - LM - BP模型可以将这种复杂的循环作用过程以及作用结果通过图形进行演绎。
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。
BP model is employed to combine the quantitative analysis with the qualitative analysis of DGGL.
采用BP模型，将微分对策的定量和定性分析结合起来。
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。
The GA-BP model is built by the nonlinear mapping ability of BP network and the global optimization of GA.
在GA - BP模型中主要是利用了BP网络的非线性映射能力和GA的全局优化能力。
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。
As one of the neural network models, BP model, which is a simple and effective algorithm, has been applied widely.
BP模型是目前最为广泛应用的神经网络模型之一，它是一种简单而又非常有效的算法。
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。
Because liner models have some defects, I construct perceptron model and BP model on base of neural networks theory.
考虑到线性模型的一些缺点，本文随后应用神经网络理论，分别建立感知器预警模型和BP网络预警模型。
By comparing with standard BP model, it shows that both the two improved methods can improve the precision of ANN efficiently.
通过与标准BP算法的比较，表明这两种改进方法都能有效地提高神经网络模型的精度。
A prastical neural network of BP model is acquired after trained with a learning samples set, which consists of materials selection knowledge.
利用训练样本使一个BP神经网络学习选择材料的知识，利用测试样本验证此网络的能力。
Finally, the method is used to assess the suitability of an area to be reclaimed for agricultural use using fuzzy technology, BP model and GIS.
最后结合某一复垦区，基于GIS平台，利用模糊技术和BP模型，对复垦为农业用地的适宜性进行了评价。
Further, the dynamic traffic data fusion technique based on the GA-BP Model is studied for the dual-source and triple-source dynamic traffic data.
并重点研究了基于遗传—bp神经网络组合模型的二源、三源动态交通流数据融合技术。
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。
While in order to preview the change of natural gas price more accurately, I choose improved BP model-partial Least Squares Regression to forecast the price.
同时，为了更精确地预测天然气价格变动，我选择BP模型的改进模型也就是偏最小二乘神经网络模型对天然气价格进行预测。
Recent years, BP model has been applied to atmospheric pollution forecast, a neural network prediction model of atmospheric pollutant concentration is set up.
近年来将BP网络模型应用到大气污染浓度预报中，并建立了大气污染物浓度的神经网络预报模型。
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。
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 method using BP model to automatically identify fire-points in meteorological satellite images are discussed and the test in the range of Hubei province is presented.
作者探讨了应用神经网络实现气象卫星影像森林火点自动识别的技术方法，并在湖北省地理范围内进行了试验。
The method of fault diagnosis based on BP model neural network is studied, in which enough typical fault samples or expert knowledge are needed to train the neural network.
研究了基于BP模型神经网络的故障诊断方法，它只需来自生产实际的大量样板实例或领域专家的知识训练神经网络。
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。
BP model in artificial nerve net model is adopted to predict stuck operating mode in drilling well and artificial nerve net software in predicting system is developed in the paper.
采用人工神经网络模型中BP模型对现场的钻井工况进行卡钻预测，并开发了人工神经网络实时卡钻预测系统软件。
This paper has introduced briefly the principle and method of BP model of the artificial nerve cell network, and discussed its application experience on the meteorological forecast.
结合气象应用简要介绍人工神经元网络BP模型的原理和方法，对其在气象预测中的应用经验作了评述。
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。
Results the properties of higher order feedforward neural networks model were superior to those of the traditional BP model when applied in the assessment of regional environmental quality.
结果高阶前馈神经网络模型应用于区域环境质量评价时，其性能指标优于传统BP网络。
Results the properties of higher order feedforward neural networks model were superior to those of the traditional BP model when applied in the assessment of regional environmental quality.
结果高阶前馈神经网络模型应用于区域环境质量评价时，其性能指标优于传统BP网络。
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