采用神经网络方法识别位移函数；
The method avoids deflection of the other displacement function aroused.
方法采用BP神经网络方法。
提出了用神经网络方法测定无机铬的形态。
This paper presents an artificial neural network for the speciation of Chromium.
提出了一种计算二维图象矩的神经网络方法。
A neural net approach to computation of two dimensional image moments is presented.
应用人工神经网络方法建立了岩溶塌陷预测模型。
By application of neural network method, predicting model of karst collapse is constructed.
提出用神经网络方法解决地形面的曲面构造问题。
An artificial neural network approach is presented to solve the problem of terrain surface construction.
为BP神经网络方法技术的应用探索了一个新的领域。
And it has explored a new field for the application of BP neural network method technology.
提出了一种用于短期电力负荷预报的模糊神经网络方法。
This paper presents a fuzzy neural network approach to short term load forecasting.
提出并研究了电力变压器故障诊断的人工神经网络方法。
A neural network approach to power transformer fault diagnosis is proposed in this paper.
运用神经网络方法，建立了预测橡胶老化性能的计算模型。
The calculation model for predicting rubber aging properties was derived by means of neural network method.
提出了平面拟合编码的一种新的实现方法，即神经网络方法。
A novel approach to plane fitted encoding, or the neural network approach, is presented.
由此可见，RBF神经网络方法用于转换GPS高程是可行和有效的。
So the conversion of GPS height based on RBF neural network algorithm is feasible and effective.
神经网络方法主要对客户行为进行分析和预测，从定量的角度进行分析。
The method of Neural Networks mainly analyzes and forecasts the clients' behaviors with the quantitative point of view.
提出并分析了一种适用于控制并联有源电力滤波器的人工神经网络方法。
An artificial neural network method for control of shunt active power filters is presented and analyzed.
本文研究用自产生和自组织神经网络方法进行超声心脏图像的自动分割。
The automatic segmentation of ultrasonic heart image using self-creating and organizing neural network has been studied.
文中所采用的特征输入神经网络方法，通过模拟实验，取得了良好的效果。
Neural network method of feature input is employed, and simulation experimental results indicate that it is effective.
与最大似然法相比，神经网络方法可以方便地加入地理辅助数据进行分类。
Neural network method is more convenient to join the assistance data to classify than maxim likelihood method.
方法采用人工神经网络方法和基于动量因子技术的改进BP网络训练算法。
Method the artificial neural network and the advanced BP training arithmetic operations based on momentum factor technique are used.
本文指出和讨论了人工神经网络方法在处理某类随机性问题上存在着的潜力。
Potentiality of artificial neural network method in copping with a kind of random problem is shown and discussed.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
采用人工神经网络方法预测了受模口温度和挤出流率影响的型坯成型阶段的膨胀。
Neural network method was used to investigate the parison swell affected by the die temperature and extrusion flow rate.
结果表明，神经网络方法性能良好，可望成为黄土孔隙性分类判别的有效辅助手段。
The result shows that the nerve network method is quite effective in the classification and differentiation of loess porosity.
应用误差逆传播（BP）神经网络方法，对高含沙流体极限剪应力进行了多次训练。
Data of ultimate shear stress of hyper concentration flow are trained several times by Back Propagation (BP) neural network method.
应用原子参数人工神经网络方法研究了过渡元素二元合金相图中的有限固溶度问题。
Limited solid solubility of transition elements in binary alloy phase diagram is studied by (using) atomic parameters and artificial neural network.
通过指数法和人工神经网络方法的联合应用，相互比较得到科学、准确的风险评价结果。
Through the union application of the index method and artificial neural network method, relatively received science, accurate result of appraisal of risk each other.
将人工神经网络方法引入中医证候研究领域符合中医证候体系的内涵要求，具有可行性。
The introduction of Artificial neural network to TCM Syndrome research consistents with the TCM Syndrome connotation system requirements, and is feasible.
在原油评价数据库中，为提高物性计算的精度，采用神经网络方法计算原油中馏分油物性。
In crude oil evaluation database, physical properties are calculated by using a neural network method.
本文改变传统的数学建模方法，运用神经网络方法，建立一个粘土的非线性本构关系模型。
Instead of traditional methods, a neural network method for building the nonlinear constitutive law model of clay is proposed in this paper.
建立了采用人工神经网络方法预测砂带磨削铝合金时磨削力和磨削表面粗糙度的分析模型。
An analysis model which can predict grinding force and surface roughness of aluminum alloy with abrasive belt grinding by using artificial neural networks was established.
建立了采用人工神经网络方法预测砂带磨削铝合金时磨削力和磨削表面粗糙度的分析模型。
An analysis model which can predict grinding force and surface roughness of aluminum alloy with abrasive belt grinding by using artificial neural networks was established.
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