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.
用微波网络方法求解径向任意介质分布圆柱介质波导的本征值问题。
The eigenvalue problem of radially inhomogeneous cylindrical dielectric waveguides is solved by microwave network method.
本文通过分析超媒体系统中的不确定性因素，引入了贝叶斯网络方法。
Beginning with the analysis of the Uncertainty in hypermedia system, the paper introduces the Bayesian networks.
在属性测度概念的基础上，运用属性聚类网络方法解决模式识别问题。
Based on concepts of attribute measurement, we used attribute clustering network approach to resolve some problems of pattern recognition.
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.
网络-价值工程技术是一种施工组织的新方法，弥补了网络方法的不足。
Network-value engineering technology is a new construction organization method, which makes good the shortcomings of network method.
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.
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.
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.
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.
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。
Based on the application of artificial neural network principle, this paper presents a BP artificial neural network model for aeromagnetic information connection.
文章在对流动资金需求量预测的传统方法进行分析的基础上，指出了神经网络方法的适用性。
On the basis of analyzing the traditional methods of flowing funds demand prediction, the paper points out suitability of the method of neural network.
针对该课题，本文对边坡稳定性评价的神经网络方法及神经网络的遗传优化进行了探讨和研究。
As to this method, some researches about the slope stability evaluation by neural networks method and its optimizing means were done by this thesis.
采用小波多分辩率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。
The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.
采用小波多分辩率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。
The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.
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