And introduce the fuzzy neural network models to improve the fuzzy comprehensive evaluation model.
并且引入模糊神经网络算法对模糊综合评判模型进行改进。
Finally, we apply neural network models with dynamic depressing synapses in the field of associative memory.
最后对抑制型动态突触神经网络在联想记忆中的应用进行了研究。
As one of the neural network models, BP model, which is a simple and effective algorithm, has been applied widely.
BP模型是目前最为广泛应用的神经网络模型之一，它是一种简单而又非常有效的算法。
Neural network models and an optical implementation of the Perception algorithm for pattern dichotomy are described.
本文阐述了几种神经网络模型和模式两分法中感知算法的一种光学执行过程。
Global asymptotic stability of general recurrent neural network models with S-type distributed delays on infinite intervals.
无限区间上s -分布时滞广义递归神经网络模型概周期解的全局渐近稳定性。
The proposed models are shown to be more accurate prediction results than multiple regression, ARIMA and neural network models.
藉由实证范例分析，本研究建构之 出货预测模式预测能力较多元迴归模式、时间數列 模式与類神经网路模式佳；
Three-layer BP neural network models are used for the internal model and the reverse model of the controlled system in the controller.
该控制器的正模型和逆模型都以三层BP神经网络为主体，实现对SVC及电网的动态描述和对SVC的控制。
Two kinds of fuzzy neural network models' application to the quantitative analysis in an electronic nose system are put forward and realized.
提出并实现了两种类型的模糊神经网络用于电子鼻系统的定量识别。
The work indicates that people should be very careful when they build neural network models by considering the properties of a biological neural system.
表明人们在参考生物神经系统来建立人工神经网络系统时必须慎重对待生物神经系统的某些特点。
By using the Neural Network Toolbox (NNT) of MATLAB, BP Artificial Neural Network Models are set up to predict the dry season Runoff in the Lower Yellow River.
本文利用MATLAB软件的神经网络工具箱(NNT)，建立下游枯季径流预测的BP神经网络模型。
Based on the specific geological features of Shaximiao formation, this article used the best subset and GA-BP neural network models to predict the deliverability.
针对沙溪庙组特定的地质特征，本文采用了最佳子集及GA - BP神经网络模型预测产能。
We have investigated artificial neural network models based on an augmented Lagrange method, and accomplished the circuit structure and the simulation experiments.
研究了扩展拉格朗日方法的人工神经网络模型，实现了其电路结构，并进行了仿真实验。
Based on the neural network models, the control variables are optimized with improved ant algorithm. And the yield of the product can be increased by optimization.
进一步采用改进的蚁群算法来对发酵过程的控制变量进行优化，使发酵的产物产量得到提高。
By using neural networks as the approach for whitening system cloud gray model, the system cloud gray neural network models SCGNNM (1, 1), were proposed in this paper.
利用人工神经网络的方法实现系统云灰色模型的参数白化，提出了系统云灰色神经网络模型SCGNNM(1,1)，并给出了相应的学习算法。
The results of experimental prediction show that the accuracy of predication by the neural network models is very high. They open up a new way to predict farmer income.
预测结果表明农户经济收入神经网络模型预测精度较高，开辟了农户经济收入预测的有效途径。
The artificial neural network was introduced into welding expert system and a series of neural network models were set up by the authors for the design of welding parameters.
将人工神经网络技术引入焊接专家系统，建立了多种焊接规范参数设计网络模型。
The paper presents the neural network models of the current relay, impedance relay of circle character and polygon character, and proves that these models have better adaptability.
给出了电流继电器、圆特性以及四边型特性阻抗继电器的神经网络模型，并证明了三种模型都具有很强的自适应性。
A sufficient condition guaranteeing the global asymptotical stability of the equilibrium point is derived for a class of neural network models with variable delay and neutral type delay.
摘要针对一类能够由中立型变延迟非线性微分方程描述的神经网络模型，给出了全局渐近稳定的不依赖于时间延迟的充分条件。
A new algorithm based on neural network models is also presented, in which the neural networks are employed to express the membership function of fuzzy sets and solve the optimization problems.
该算法分别采用神经网络模型进行模糊集隶属函数的表达及优化问题的求解，从而将模糊优化同神经网络有机地结合起来。
This paper reviews some optimed methods of BP neural network models, and formulates the classification of these methods. In addition, some related problems and further research work are suggested.
文中综述了BP神经网络模型的一些优化方法，并对这些方法进行了分析，最后提出了存在的问题和进一步的工作。
Empirical results show that genetic programming model is more advantageous than traditional statistical models, neural network models and decision tree models in prediction accuracy and robustness.
检验结果表明，该模型在预测精度、实用价值和鲁棒性方面都优于传统的统计模型、神经网络模型和决策树模型。
The conclusion of this text is: through the study on soil nature and BP neural network , a holing parameter predicts models after setting up.
其结论为：通过对岩土性质及BP神经网络的研究，建立了一种新的钻孔间参数预测模型。
The mathematical principles and models of gray relational analysis and BP neural network used to determine the source of water were introduced.
给出了灰色关联分析及BP神经网络进行判别分析的数学原理和模型。
Both logistic regression and artificial neural network (ANN) models were developed.
逻辑退化和人工神经网模型均被制定。
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。
It indicates that the neural network can produce models with better fitting quality and predictive quality in comparison with traditional G-O model.
结果表明：神经网络预测软件缺陷数比传统的G - O模型有更好的质量拟合度和估测能力。
Multi inversion methods are provided in the software, such as inversion based on models, sparse pulses inversion and artificial intelligence neural network inversion.
在软件中提供了多种反演方法如基于模型反演，稀疏脉冲反演和人工智能神经网络反演。
The models for predicting the recrystallized grain size and the recrystallization volume percent have been established with the artificial neural network.
采用人工神经网络的方法建立了再结晶晶粒尺寸和再结晶体积分数的预测模型。
A method of parameter estimation for multi-dimension autoregressive models (ar, NLAR) via neural network is given in this paper.
本文提出一种基于神经网络的多维自回归模型(AR,NLAR)参数估计方法。
A method of parameter estimation for multi-dimension autoregressive models (ar, NLAR) via neural network is given in this paper.
本文提出一种基于神经网络的多维自回归模型(AR,NLAR)参数估计方法。
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