This paper presents a coupling neural network model.
给出了一个耦联神经网络模型。
The recurrent neural network model based on projective operator is studied.
研究了一种基于投影算子的神经网络模型。
The fuzzy neural network model for dynamic equation of the PMT is established.
本文建立了求解并联机构动力学方程的模糊神经网络模型。
The empirical result shows that the neural network model can reach 88% accuracy rate.
实证结果表明：该神经网络模型能达到88%的较高准确率。
A neural network model with the global convergence is proposed and studied in this paper.
本文提出并研究了一种具有全局收敛特性的神经网络模型。
The design of adaptive controller for the chaotic neural network model reference is studied.
研究了非线性的神经网络模型参考自适应控制器设计问题。
This paper proposes a new neural network model UMAN to perform unsupervised image segmentation.
本文提出了一种新的神经网络模型UMAN，以实现非监督的图象分割。
The neural network model of high precision was obtained by the training of orthogonal test method.
通过正交试验法对模型的训练，得到了高精度的神经网络模型。
Groundwater level variation has been quantitatively predicted based on the BP neural network model.
基于BP网络模型，对地下水水位变化规律进行了定量预测。
Furthermore, neural network model, which has better nonlinear mapping capability, is studied and founded.
同时，研究并建立了具有较强非线性映射能力的神经网络模型。
According to BP neural network theory, dual neural network model for lithology identification was established.
根据BP神经网络原理，建立了岩性识别双重神经网络模型。
The artificial neural network model with capacity of error-tolerance can improve the reliability considerably.
具有容错能力的人工神经网络结构，可以提高人工神经网络的可靠性。
The RBF neural network model has better convergence ability and impending speed than the BP neural network model.
RBF神经网络模型的收敛能力和逼近速度优于BP神经网络模型。
This paper discusses backpropagation neural network model and BP algorithm to determine market response functions.
探讨了利用反向传播神经网络和BP算法确定市场响应函数的方法。
A new neural network model is established based on the concept of equal dimension and new information in grey theory.
采用灰色理论中的等维新息思想构建训练样本，建立了等维新息神经网络预测模型。
Secondly, Neural Network 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。
This paper proposes a method of using neural network model reference adaptive controller to control machining process.
本文提出了用神经网络模型参考自适应控制器对加工过程进行控制的方法。
By analyzing the freeway macroscopic dynamic traffic flow model, the paper presents a neural network model for traffic flow.
通过对高速公路宏观动态交通流模型的分析，提出了动态交通流的神经网络模型。
Perceptron is a kind of useful neural network model and can classify the classification of the detachable linearity correctly.
感知器是一种有用的神经网络模型，可以对线性可分的模式进行正确分类。
Based on theory model, the authors set up the control model of converter steelmaking, adopting artificial neural network model.
以理论模型为基础，建立了转炉炼钢控制模型，并将人工神经网络模型应用到转炉控制中。
It is more accurate of the forecasting results by the composite gray neural network model than that by the only gray models by comparison.
对比发现，利用组合灰色神经网络模型预测的位移值较单独的灰色模型预测的位移值具有更高的精度。
A new method for recognizing gas components in air based on nonlinear fluorescence spectra combined with a neural network model was proposed.
提出利用物质的荧光光谱联合人工神经网络识别大气中杂质气体成分的新方法。
This setting will create a neural network model that does not contain a hidden layer, and that therefore is equivalent to logistic regression.
这样设置便可以创建不包含隐藏层的神经网络模型，从而使该神经网络模型与逻辑回归等效。
Short term predictions of chaotic series are realised with neural network model, after diagnosing the time series as chaotic statistic series.
对于一个经诊断为混沌的统计量序列，应用神经网络建立模型，短期预测混沌序列。
A immune algorithm neural network model for predicting oil gas is presented by means of combining immune algorithm with neural network theory.
将免疫算法与神经网络理论相结合，提出了免疫神经网络预报模型，以预报油库油气浓度。
By analyzing the theory of neural network integration, I developed a multi-level neural network model for recognition handwritten Chinese characters.
通过对神经网络集成的理论分析，提出了一种多级神经网络结构的手写体汉字识别模型。
To solve the leak detection and location problem in pipeline flux, we built neural network model based on the difference of leak wave and normal signal.
为了解决目前管道流量泄漏监测和定位问题，根据管道泄漏应力波和正常信号的区别，建立神经网络模型。
The result of experiment shows that the developed model has more accuracy than the routine linear regression model and traditional neural network model.
实验结果表明，本文提出的水质反演模型较常规的线性回归模型和传统的神经网络模型有更高的反演精度。
Extracting dependent failure information from given low-fold failure data and establishing the neural network model, its distributed parameters were obtained.
并从已知的低阶失效数据中提取相关失效信息，建立神经网络模型，得到其分布参数。
Extracting dependent failure information from given low-fold failure data and establishing the neural network model, its distributed parameters were obtained.
并从已知的低阶失效数据中提取相关失效信息，建立神经网络模型，得到其分布参数。
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