This paper investigate the problem of credit risk assessment using an artificial neural networks model.
采用人工神经网络模型研究信用风险评估问题。
Based on the powerful nonlinear reflection and training function of artificial neural networks, the model of BP neural network for foundation piles integrity testing is put forward.
利用人工神经网络强大的非线性映射能力和学习训练功能，提出了基于BP网络的基桩完整性检测模型。
The BP algorithm of Artificial Neural Networks and lots of experimental samples were used in training the BP model which succeeded in diagnosing four kinds of operational status.
应用神经网络的误差反向传播算法(BP)和大量的实测数据样本训练出了能在线诊断四种加工状态的BP模型并成功地诊断了实际加工状态。
For improving the precision of prediction of rolling model, a new method using artificial neural networks of rolling force modeling is put forward.
为了提高轧制力模型预报值的精度，提出了一种基于人工神经网络的轧制力建模新方法。
In order to achieve intelligent process state model output, the use of artificial neural networks for automatic reasoning capabilities.
为了实现过程状态模型的智能输出，运用人工神经网络实现自动推理的功能；
An analysis model which can predict grinding force and surface roughness of aluminum alloy with abrasive belt grinding by using artificial neural networks was established.
建立了采用人工神经网络方法预测砂带磨削铝合金时磨削力和磨削表面粗糙度的分析模型。
At the end of this thesis, the problem how to make an Expert System based on the model of Artificial Neural Networks was discussed, and some advice of model ameliorating was given.
最后，本文还对将所建立的人工神经网络模型进一步完善成为神经网络专家系统的问题进行了探讨，并提出了网络及算法进一步改进的方案。
A quantitative structure-property relationship (QSPR) model based on artificial neural networks was established to predict the flash points of fatty alcohols.
建立了一个基于人工神经网络方法的定量结构-性质相关性(QSPR)研究模型，用于预测脂肪醉闪点。
In this paper, a mathematical model is developed for an industrial acrylonitrile fluidized bed reactor based on artificial neural networks.
利用人工神经网络的方法建立了工业合成丙烯腈流化床反应器的数学模型。
This paper puts forward the ways of reliability prediction based on artificial neural networks, builds the three layers BP neural networks model, and presents its arithmetic in detail.
本文提出了基于人工神经网络的可靠性预测方法，建立了用于数控机床可靠性预测的三层BP神经网络模型，给出了具体的算法。
The prediction model for liquefaction potential of site based on artificial neural networks is presented.
基于人工神经网络，提出了场地液化势预测模型。
Based on the characteristics of thermodynamics, the physical model of split-Stirling crycooler was set up and artificial neural networks were imported into the model.
本文基于热力学性质建立了分置式斯特林制冷机的物理模型，并将人工神经网络引入模型。
The training model of test simulation for car of inverted pendulum based on BP algorithm of artificial neural networks (ANN) is a BP network that has 4-input and 3-layer structure.
基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。
It is designed to attach importance to the unknown connection between forecasting value and real value which is obtained by GM (1, 1) model with artificial neural networks and to forecast again.
此方法是用人工神经网络去把握灰色GM(1,1)所得到的预测值和实测值之间的未知关系，再进行新的预测。
This function is exactly what is needed for an artificial neuron model to work and the device is no doubt most suitable to construct neural networks.
这种器件的结构和功能非常类似于人工神经单元模型，所以非常适于在神经电路和神经网络系统中应用。
An analysis model which can predict grinding force and surface roughness grinding works by using artificial neural networks is introduced.
介绍了采用人工神经网络方法预测磨削力和磨削表面粗糙度的分析模型。
Based on experiment data, a model for the relationship between the rolling load of an open mill and its affected factors was built with artificial neural networks.
在实验数据的基础上，利用人工神经网络建立开炼机横压力与其影响因素之间对应关系的数学模型。
In order to improve the precision of the model, a new method using self adaption and artificial neural networks to predict rolling force was developed.
为了提高中厚板轧机轧制力的预报精度，采用轧制力模型自适应与人工神经元网络相结合的方法进行中厚板轧制力的在线预报。
This thesis put forward a method to build the laser cutting parameters model and set up the automatic select parameters system with artificial neural networks technology.
提出了一种用神经网络技术构造激光切割加工工艺参数模型和建立加工参数自动选取系统的方法。
Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.
近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。
Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.
近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。
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