给出了一个耦联神经网络模型。
研究了一种基于投影算子的神经网络模型。
The recurrent neural network model based on projective operator is studied.
提出了一种基于神经网络模型的母线保护。
神经网络模型的建立。
最后给出了神经网络模型分类性能的测试结果。
Finally, testing results of this model's sorting performance are presented.
在非线性算法方面，把神经网络模型引入到g。
For the nonlinear algorithm, we introduce BP neural network into the g.
通过足够样本的训练，构造出一个有效的神经网络模型。
Through enough samples training, an effective RBF neural network can be established.
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。
A neural network model with the global convergence is proposed and studied in this paper.
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 fuzzy neural network model for dynamic equation of the PMT is established.
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。
The design of adaptive controller for the chaotic neural network model reference is studied.
实验表明，生成的人工神经网络模型具有良好的预测效果。
The experiment result indicates that ANN model has good predicting effect in electric power distribution .
利用动态学习率改进BP算法，建立了混合神经网络模型。
A mixed NN model is constructed using BP algorithm improved with dynamic learning rate.
实证结果表明：该神经网络模型能达到88%的较高准确率。
The empirical result shows that the neural network model can reach 88% accuracy rate.
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。
The neural network model of high precision was obtained by the training of orthogonal test method.
由于其反馈特征，使得递归神经网络模型能获取系统的动态响应。
With the feedback behavior, the recursive neural network can catch up with the dynamic response of the system.
介绍前向人工神经网络模型，并与传统的统计学线性模型进行比较。
The author introduces the forward manual nerve net model and makes a comparison with the linear model of traditional statistics.
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。
The RBF neural network model has better convergence ability and impending speed than the BP neural network model.
由于其反馈特征，使得递归神经网络模型能获取系统的动态响应特性。
With the feedback behavior, the recurrent neural network can catch up with the dynamic response of the system.
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。
Perceptron is a kind of useful neural network model and can classify the classification of the detachable linearity correctly.
结合神经网络和预测控制的优点，提出了一种神经网络模型预测控制算法。
The paper presents a neural networks predictive control algorithm based on the advantage of neural networks and predictive control.
最后，介绍了多层神经网络模型在丝杠螺纹磨削过程的预测与控制中的应用。
The application of multi-layer neural networks in the prediction and control of lead-screw grinding is discussed.
采用基于灵敏度分析的BP神经网络模型作为基分类器，进一步剔除冗余基因。
BP neural network based on sensitivity analysis is used as base classifier to learn the subsets and redundant genes are further removed.
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。
By analyzing the freeway macroscopic dynamic traffic flow model, the paper presents a neural network model for traffic flow.
本文提出一种利用季节性神经网络模型对医院门诊量进行非线性曲线拟合分析和预测。
This paper puts forward a seasonal neural network model to curve fitting analysis for nonlinearity and predict for the seasonal time series of outpatient amount.
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。
The ANN model of oxirane reactor is the core of the software, and training, recalling, predication and illustration are included.
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.
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。
The ANN model of the dangerous degree classification also trained by random selected enough samples in the range of known parameters.
通过与标准BP算法的比较，表明这两种改进方法都能有效地提高神经网络模型的精度。
By comparing with standard BP model, it shows that both the two improved methods can improve the precision of ANN efficiently.
结果：对遗传神经网络模型所预测的最佳分离条件进行实验，获得了比较满意的分离结果。
Results: Through the experiment with the optimized separation predicted by Genetic Neural Networks model, satisfied results of separation can be obtained.
结果：对遗传神经网络模型所预测的最佳分离条件进行实验，获得了比较满意的分离结果。
Results: Through the experiment with the optimized separation predicted by Genetic Neural Networks model, satisfied results of separation can be obtained.
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