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。
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。
Using the data obtained from a test vehicle, a neural network model of automotive for velocity tracking is developed at first.
利用试验汽车所获得的数据，首先开发出用于车速控制的神经网络模型。
This paper brings forward a neural network model that fits the benefit evaluation with qualitative and quantitative evaluating index.
本文在高校图书馆传统效益评估的基础上，建立适合定性、定量评估指标的效益评估神经网络模型。
A neural network model is used to predict the dynamic response of the turboshaft engine and generate the predictive model of the NMPC;
利用神经元网络模型预测涡轴发动机动态响应过程，得到预测模型；
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。
Objective to set up a neural network model and system to be applied in color selection of anterior porcelain prosthesis, and to improve its cosmetic effect.
目的旨在建立前牙修复体人工神经网络智能选色设计系统，提高前牙瓷修复体的美学质量。
The study of the feedback neural network, the analysis of the work principle of Hopfield neural network lead to a neural network model with chaotic character .
对反馈神经网络进行了研究，在分析现有混沌神经网络的工作原理的基础上，提出一种新的混沌神经网络模型。
The paper presents a surface reconstruction algorithm based on multi layered perception (MLPSR), and constructs a neural network model of surface reconstruction.
提出了一种基于多层感知器网络的曲面重构算法(ML P SR)，建立了用于曲面重构的多层感知器网络模型。
To improve the precision and efficiency of rolling force prediction on tandem cold rolling mill, a neural network model combined with ant colony algorithm is presented.
为提高冷连轧机轧制力的预报精度和预报速度，用蚁群算法和神经网络相结合的方法进行轧制力预报模型设计。
Aimed at the pattern classification problems relating to time process, a neural network model named self-organization process neural network is brought forward in this paper.
针对与时间过程有关的模式分类问题，提出了一种自组织过程神经元网络模型。
A neural network model with dynamical compensating capability is analyzed. During the training of this network model, we apply the principle of dynamic error back-propagation.
本文分析了一种动态补偿神经网络模型，模型的训练利用反向传播原理实现。
Ground surface subsidence, involving many factors, is a typical non-linear system. A neural network model can simulate better this system and calculate ground surface movement.
地表沉陷涉及因素较多，是一个典型的非线性系统，神经网络模型能够较好的模拟该系统，进行地表移动变形计算。
A neural network model for computing real zeros of polynomials is presented. Both the mathematical analysis and the experimental results show that the proposed network is effective.
本文给出一类适合于求解多项式实零点问题的神经网络。理论分析和模拟结果都表明，这类网络可实时求解多项式实零点问题。
Based on the model parameter identification theory in inverse problem, a neural network model for constitutive law of clay under multiple stress paths is set up through artificial neural network.
基于反问题中的模型参数辩识理论，通过人工神经网络，建立了考虑应力路径影响的粘土的神经网络本构模型。
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.
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。
Based on the application of artificial neural network principle, this paper presents a BP artificial neural network model for aeromagnetic information connection.
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。
It is the continuity work on predicting parison dimensions in extrusion blow molding by means of the artificial neural network (ANN) method, and established a new ANN model.
延续了本课题组在挤出吹塑中利用人工神经网络(ANN)预测型坯尺寸的工作，建立一个新的ANN模型。
Choosing a training method is very important when using neural network to obtain the model and the inverse model of the nonlinear object.
在使用神经网络完成非线性对象的模型和逆模型时，选择的训练方法很重要。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
Considering the dynamic character of rock burst, a time serial model of rock burst is constructed by evolutionary neural network based on immunized evolutionary program.
考虑到冲击地压时序的特点，采用基于免疫进化规划的进化神经网络进行了冲击地压非线性系统的建模研究。
The proposed model is tested by a real magnitude series from a mine, and results show that evolutionary neural network model has not only high precision, but also high prediction.
并采用一个矿山实测得到的震级数列进行了进化神经网络方法的实用性验证，结果表明，进化神经网络不但模型拟合精度高，而且预测性能也较好。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
To solve this problem, a model based neural network method is presented.
本文提出用基于模型的神经网络方法来解决这一问题。
This paper presents a coupling neural network model.
给出了一个耦联神经网络模型。
In view of the model nonlinearity, the complexity, and the measuring difficulty in the crystallizing process of cane sugar, a genetic neural network model is established.
针对蔗糖结晶过程控制中存在的模型复杂性和检测困难等问题，建立了蔗糖结晶过程的遗传神经网络模型。
In view of the model nonlinearity, the complexity, and the measuring difficulty in the crystallizing process of cane sugar, a genetic neural network model is established.
针对蔗糖结晶过程控制中存在的模型复杂性和检测困难等问题，建立了蔗糖结晶过程的遗传神经网络模型。
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