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。
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。
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。
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。
BP neural network model for settlement predication is established on the basis of observed data.
根据实测资料建立了预测沉降的BP神经网络模型。
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。
The thermodynamical properties of polymers are studied using a BP artificial neural network model.
用前馈多层神经网络方法研究了高聚物的热力学性质。
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。
Pruning algorithm is an important method to set up and optimize the structure of neural network model.
修剪法是确定和优化神经网络结构的重要方法之一。
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 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。
Artificial neural network model of calculating the developed length is established on basis of its analytic method.
在概述解析法确定板料展开长度的基础上，建立了计算展开长度的人工神经网络模型。
Method named BAYESIAN combined neural network model is proposed for short term traffic flow prediction in this paper.
提出一种新的贝叶斯组合神经网络模型并将其应用于短期交通流量的预测。
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。
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。
By using the collection data in training the neural network, this paper establishes the proper engine idle speed neural network model.
通过训练神经网络学习样本数据，建立了正确的发动机怠速神经网络模型。
Neural network method for solving global unconstrained minimized problems was investigated and a new neural network model was then proposed.
这里考察了求解无约束总体极小化问题的神经网络方法，提出了一种新的网络求解模型。
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。
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。
The Chaotic neural network model can be used to solve many multi-dimensioned, discrete, non-convex, nonlinear constrained optimization problems.
基于混沌神经网络模型可以有效地解决高维、离散、非凸的非线性约束优化问题。
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