神经网络模型的建立。
The paper presents a bus protection based on ANN model.
提出了一种基于神经网络模型的母线保护。
An ANN model is established with data of famous Nikuradse-test.
以著名的尼古拉兹试验数据为基础，建立了相应的ANN模型。
The ANN model can forecast residual chlorine concentrations in real time.
使用ANN模型可以实现实时预测。
Meanwhile, some problems were discussed in establishment and application of ANN model.
同时，对在建立和应用ANN模型时应注意的一些问题进行了讨论。
The QSAR-ANN model has been used to predict the bio-toxicity of 23 substituted benzene chemicals.
将模型用于23种取代苯类有机物的生物毒性预测，结果满意。
The experiment result indicates that ANN model has good predicting effect in electric power distribution .
实验表明，生成的人工神经网络模型具有良好的预测效果。
ANN model was constituted by gaining the related data of influence factors and carbonization depth based on experiment.
在试验基础上获得多个影响指标与碳化深度的相关数据，建立多指标多模式预测模型。
By primary data process, visual output of GIS and ANN model, thesis has expanded the spatial assistant decision function.
模型利用GIS处理基础数据、可视化输出预测结果，利用人工神经网络模型来扩展GIS空间辅助决策功能。
Based the successfully trained ANN model, genetic algorithms (GA) are used to optimize the input parameters of the model.
在神经网络训练的基础上，采用遗传算法优化神经网络的输入参数。
The method of ANN model can not only decrease the cost of research but get the applicable optimal conditions of the technics.
该法不仅可以减少实验成本而且能够提供较为可信的最优工艺条件，具有一定的实用价值。
Research showed that the ANN model of ET0 has higher precision because of characters of ANN, such as nonlinear, self-adaptive.
研究表明，由于ANN的非线性、自适应性等优点，使得所建et0的ANN模型精度高。
When a new data fed into the integrated model, a classifier will deliver the new data into different non-linear local ANN model.
当新的信息进入该模型时，首先用分类器判别其类别，以确定用混合模型中的何种局部模型加以模拟。
The ANN model of oxirane reactor is the core of the software, and training, recalling, predication and illustration are included.
软件以环氧乙烷反应器神经网络模型为核心，包括训练、回忆、预测及说明四个部分。
So it is feasible to predict the environmental thermal comfort with building and testing ANN model to different thermal environment.
因此，合理建立各类热环境的ANN模型，用已有的热反应数据训练该模型，实现对环境热舒适性的预测是可行的。
The ANN model is applied in the real tunnel designs and the model is use in the building process so the network can be made perfect.
利用该人工神经元网络模型，在具体的公路隧道仰坡设计中进行应用，并可以在施工过程中进行随地质条件变化的动态控制设计，进一步完善该网络模型。
The ANN model of the dangerous degree classification also trained by random selected enough samples in the range of known parameters.
采用在已知参数范围内随机选取足够的样本的方法来训练危险度分级的神经网络模型。
An ANN model for estimating fetal weight was established, and method for determining topological structure of the model was discussed.
建立了一个预测胎儿体重的网络模型，讨论了确定网络拓扑结构的方法。
The training sample sets and test sample sets for the ANN model were prepared from the real production of the continuous casting production.
采用生产现场数据制做了预测模型的训练样本集和测试样本集。
The ANN model between the bending Angle and technological parameters is built by using the technology and sample data which has been acquired.
应用神经网络技术，并利用已经获取的加工样本数据，建立起工艺参数与折弯角之间的人工神经网络模型。
In order to use the established ANN model conveniently, the hardenability prediction software of boron steels is programmed by means of MATLAB6.5.
为了方便使用所建立的模型预测硼钢的淬透性，采用MATLAB6.5编制了硼钢淬透性预测软件。
Function approximation is one of the most important ability of ANN, a function object can be replaced by an ANN model with function approximation ability.
函数逼近能力是ANN具有的重要性能之一，依据ANN具有的函数逼近能力，可用ANN模型去替代一个确定的物理对象。
The results showed that the ANN model could obtain a directly - quantitative results in the comprehensive assessment of city regional ambient air quality.
结果证明，ANN模型用于区域环境空气质量评价，其评价结果比较直观。
As one of the most important capability of ANN, function approximation ability can be used to design ANN model, which can characterize certain physics object.
函数逼近能力是ANN具有的重要性能之一，依据ANN具有的函数逼近能力，可用ANN模型去替代一个确定的物理对象。
The protected object of bus protection is a function with certain input and output, which can be represented by ANN model, or approximated by ANN mathematical model.
母线保护的物理对象是一个输入输出关系确定的函数对象，可用一个ANN模型去替代，或用一个ANN数学模型去逼近母线保护物理对象的输入输出之间的函数关系。
Comparison with the ANN model shows that both one step forecasting accuracy and multistep forecasting accuracy by the online model are higher than that by ANN model.
与已有神经网络预测模型相比，具有更高的一步预测和多步预测精度。
The optimum process parameters could be obtained using ANN model to describe relationships between process parameters and performance and GA to optimize process parameters.
说明用神经网络模型描述微囊制作参数与性能之间的关系，用遗传算法优化微囊制作工艺参数，能设计出性能最佳的微囊制作工艺参数。
Combining with the advanced water resource dispatch project of Yunnan Power Group, the ANN model is successfully applied to mid-long term forecast system of water resource.
结合云南电力集团水调高级自动化工程项目，将本文的人工神经网络模型应用到中长期水情预报软件系统中，取得了较好的效果。
Combining with the advanced water resource dispatch project of Yunnan Power Group, the ANN model is successfully applied to mid-long term forecast system of water resource.
结合云南电力集团水调高级自动化工程项目，将本文的人工神经网络模型应用到中长期水情预报软件系统中，取得了较好的效果。
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