该预测模型将为这是最好的？利用回归或神经网络的不同形式的利弊是什么？
Which predictive modelling will be best for this? What are the pros and cons of using the different forms of regression or neural networks?
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。
This setting will create a neural network model that does not contain a hidden layer, and that therefore is equivalent to logistic regression.
具体如回归预测法、指数平滑法、灰色模型预测法、BP神经网络法、RBF神经网络法。
Such as the return of specific prediction method, smoothing index, grey model prediction, BP neural network, RBF neural network .
在此基础上，分别运用多元线性回归和BP神经网络方法研究边坡稳定性预测模型，并将其结果与极限平衡分析方法进行对比。
Based on this, forecast model for slope stability was studied by multivariate linear regression and BP neural network methods, and the results were compared with those by limit equilibrium method.
将偏最小二乘回归与神经网络耦合，建立了城市生活用水量预测模型。
The paper establishes the model for the urban life-water quantity prediction by means of combining neural network with the partial least squares method.
为了实现制浆蒸煮终点的精确预测，建立了基于广义回归神经网络(GRNN)的预测模型。
A model based on general regression neural networks (GRNN) has been established to predict the end point of batch pulping cooking.
采用新型对角回归神经网络来辩识系统模型，可对PID控制器参数进行整定，实现多变量解耦控制。
Adopting new type diagonal regression neural network to identify the system model, the parameters of PID controller have been set, and the multi -variable decoupling control being realized.
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.
将偏最小二乘回归与神经网络耦合，建立了径流量预报模型。
Coupling partial least-squares regression and neural network in the article, the forecasting model of the quantity of runoff is established.
提出用动态回归神经网络建立高速公路宏观交通流模型。
A dynamic recurrent neural network to freeway macroscopic traffic flow modeling is presented.
基于线性回归和RBF神经网络构建火道软测量模型，为控制建立温度反馈环节。
A flue temperature soft measurement model based on linear regression and RBF neural network was built to establish temperature feedback control.
针对复杂多变量系统难以建模的问题，采用多层局部回归神经网络离线建立其预测模型。
Aiming at the difficulties in modeling the complex MIMO system, the multilayer local recurrent neural network is used to build the predictive model of the process off-line.
人工神经网络不具备统计回归模型的显式表达形式，是一种隐式模型，因而有它的缺陷性。
Artificial neural network is a kind of implicit expression without explicit expression as statistical regression model, and it is its disadvantage.
该文介绍了内回归神经网络逼近非线性ARMA模型、用于时间序列预测的可行性。
This paper introduces the feasibility of inner recursion networks using in non-linear ARMA model approaching and time series forecasting.
与多元线性回归、模糊回归和自适应模糊神经网络相比，该模型学习精度高且具有较好的泛化能力，能取得较好的预测效果。
Comparing with the models based on multiple statistic analysis, generalized regress-ion neural network or adapted fuzzy neural network model, it shows better learning precision and generalization.
分别采用人工神经网络法和逐步回归分析法对原油管道蜡沉积实验数据进行分析处理，建立蜡沉积速率模型。
As the artificial neural network and stepwise regression analysis are respectively applied to the data of crude wax deposition experiment, the model of wax deposition velocity was established.
再以广义回归神经网络建立预测模型，与灰预测模型、多元回归模型进行预测能力及报酬率的比较分析。
It is found that it is better to predict the return rate with general regression neural network than with grey prediction and multiple regression 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。
The result of experiment shows that the developed model has more accuracy than the routine linear regression model and traditional neural network model.
通过多种可能性分析，以新预测模型季节性门限回归模型和季节性人工神经网络模型效果较为突出。
As a whole, the prediction result from seasonal threshold regression model and seasonal artificial neural network model is better than other models.
然后，利用人工神经网络在建立财务预警模型方面优于其他线性和回归模型的特点，基于B - P模型构建了一个新的混合财务预警模型。
Then, as artificial neural network is better in constructing financial prewarning model than other linear and regression models, a new financial prewarning model based on B-P model was constructed.
结合贝叶斯网络和神经网络，提出了一种建立数据驱动型的动态线性回归系统模型的方法。
A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network.
举例说明了利用回归分析和人工神经网络建立纱线质量预测模型的方法。
The article takes an example to show the different ways to predict the quality of yarns, each using the artificial neural network and linear regression.
将偏最小二乘回归与神经网络耦合，建立了矿坑涌水预报模型。
The authors establish the forecasting model for water yield of mine, combining neural network model with the partial least square method.
基于非线性自回归（NARX）动态神经网络模型结构建立了总体转矩需求计算模型。
The total torque requirement is calculated by a nonlinear auto-regression with exogenous input (NARX) dynamic neural network model.
文章根据组合预测的理论和BP神经网络对非线性数据良好的逼近特性，提出了基于BP神经网络的灰色预测、多项式回归模型的民用汽车运力组合预测模型。
Based upon the theory of combined forecasting, up-standing identity of BP neural network on approaching non-linear data, put forward a combined forecasting model for civil motors.
将这种新的预测模型（主成分神经网络预报模型）与同样根据这些预报因子建立的逐步回归预报模型进行了对比分析。
Predictive capability between the new model (principal components ANN model) and linear regression model for the same predictors is discussed based on the independent samples and historical samples.
针对不同空间距离和色调障碍物，建立距离判识结果随速度变化的一元线性回归模型及BP神经网络模型；
Study laws of distance discriminating results to red and green obstacles change with velocity at different depths distance and establish a linear regression model and BP neural network model.
同时将所建立的模型与以往回归方法建模进行了比较，可以看出多层前馈神经网络要优于回归方法建立的模型。
At the same time, comparing the model with traditional model by regression method, we obtained that the former is better.
同时将所建立的模型与以往回归方法建模进行了比较，可以看出多层前馈神经网络要优于回归方法建立的模型。
At the same time, comparing the model with traditional model by regression method, we obtained that the former is better.
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