The test results show that the NN model is practicable.
测试结果证明了模型的可行性。
With ASPEN PLUS software, the paper simulates the quench system by neural networks, constructs the NN model to complete the simple simulation and calculation of the quench system.
以aspenPLUS软件为平台，用神经网络对急冷系统进行了严格模拟，建立了神经网络模型，可用于急冷系统简单的模拟计算。
The theory of identification model based on neural networks(NN)is to research into its capability of nonlinear approximation.
神经网络的非线性逼近能力的研究是神经网络成为辨识模型的理论基础。
The philosophy and algorithm of a NN model of chaotic phase space are introduced, then its application for hydrology is discussed.
简述了相空间神经网络模型原理和算法，并通过实例讨论了其在水文中长期预测中的应用。
Secondly, Neural Network (NN) model was built up to predict ultimate bond strength between the rebar and corroded concrete.
其次，建立了受腐蚀钢筋混凝土极限粘结力的神经网络预测模型。
The separation of structure and algorithm in NN simulating model and how to reuse the code of NN through language description are introduced.
研究神经网络模型的结构和算法的分离与结合理论及结合神经网络结构描述语言实现底层代码的重用。
In this paper, the model structure and the application of Radial Basis Function Neural Network (RBF NN) to fault diagnosis of power transformer is presented.
研究了径向基函数(RBF)神经网络的模型结构及其在电力变压器故障诊断中的实现方法。
One advantage of the algorithm is that the hidden-mapping model of NN makes it difficult to get the direct mapping function of the ordinary chaos encryption algorithm.
该算法的优点之一是神经网络（NN）隐式混沌映射关系使直接获取映射关系变得困难。
The NN system in the model need lucubrate, and the result display, the model is effective, it can detect the intrusion action in lowly mistake rate.
模型中所使用的NN系统尚需进一步深入研究，但实验结果表明，该模型是有效的，能够以较低的错误率检测到入侵行为。
By revising a K-NN classification method based on evidence theory, a new K-NN classification method based on evidence reasoning model is got, which made the classification result more accurate.
本文对基于证据理论的k -NN分类方法进行了修正，得到了基于证据推理模型的k - NN分类方法，使分类结果更加精确。
Based on the research of the BP arithmetic and RBF arithmetic, the NN training and forecast model which is suitable for the environment-monitoring data is proposed.
通过对BP算法和RBF算法的研究，确定了适合环境监测数据COD值的神经网络训练与预测模型。
On the basis of separating the literal description and the data description, NN is applied to select the model type and es is applied to construct model structure.
在对文字描述和数据描述分离的基础上，应用专家系统实现模型类型的选择，应用神经网络实现模型结构的构造。
Compared with BP NN, the model is more practical.
与BP神经网络相比，该模型更实用。
The paper presents a new approach to CAD model reconstruction from cloud datas using neural networks (NN).
提出了一种新的基于神经网络的点云数据重构CAD光顺造型的新算法。
The simulative test results show that the training speed of NN model designed by the thesis is faster and the identification of magnetizing inrush based on these methods is effective.
经过仿真实验结果表明，用这几种方法所设计的神经网络模型训练速度快，识别效果好。
To further improve the forecast accuracy of this model, and reduce its forecast error, I also improve the BP NN in this article.
为了进一步提高模型预测的准确度，减小预测误差，本文还对BP神经网络进行改进。
To further improve the forecast accuracy of this model, and reduce its forecast error, I also improve the BP NN in this article.
为了进一步提高模型预测的准确度，减小预测误差，本文还对BP神经网络进行改进。
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