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。
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。
Based on fuzzy logic theory and artificial neural networks, the method of the transformer fault diagnosis with fuzzy neural networks is presented.
基于模糊逻辑理论和人工神经元网络，提出了将模糊神经网络应用于变压器故障诊断的方法。
Based on BP network, the example of nonlinear regression by artificial neural networks is given.
以BP网络为例给出了基于人工神经网络的非线性回归实例分析。
Such configured artificial neural networks are knowledge-based fuzzy neural networks.
这样的网络构成了基于知识的模糊神经网络。
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。
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。
Based on the artificial neural networks, a inverse analysis method is presented to identify both the magnitude and location of the load on bridge structure.
提出了一种智能桥梁结构的智能计算方案，并利用人工神经网络法，建立一种识别作用在桥梁结构上荷载的力学反分析法，以此初步实现该方案。
The Antibody Network (ABNET), which is a new Artificial Neural Networks (ANN) based on immune principle, has been proved to have good ability of unsupervised and competitive learning in experiments.
抗体网络作为一种新型的基于免疫原理的神经网络模型，已有实验验证了其具有良好的无监督竞争学习能力。
This paper proposes and investigates the approach to distinguish signals in communication networks based on artificial neural networks.
本文提出并实现了一种基于人工神经元网络理论的通信网信号识别系统的研制方案。
Analyzing cost environment of enterprises, this paper presents a new method based on cost driver theory. Artificial neural networks are employed to predict product costs.
在认真分析企业成本环境的基础上，提出了一种基于成本动因理论，应用人工神经网络进行成本预测的方法。
Inverse system method for nonlinear control based on neural networks was employed to solve the nonlinearity of the pneumatic artificial muscles.
运用非线性控制的逆系统方法，提出了一种基于神经网络的人工肌非线性控制方案。
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。
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。
Anew method to pulp consistency sensor nonlinear estimation and dynamic calibration based on artificial neural networks is proposed.
本文提出了一种基于人工神经网络的纸浆浓度传感器非线性估计和动态标定新方法。
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。
The study of nonlinear predictive control based on artificial neural networks is carried out.
研究了基于人工神经元网络模型的非线性预测控制。
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 dynamic compensating method for transducers is presented based on functional link artificial neural networks (FLANN) inverse system constructed by least squares-support vector machine (LS-SVM).
提出一种用最小二乘支持向量机(LS - SVM)构造函数链接型神经网络(FLANN)逆系统的传感器动态补偿新方法。
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。
Compared with multivariate statistics and artificial neural networks, support vector machine based on structure risk minimization has better classification performance.
与统计分析和神经网络相比，基于结构风险最小的支持向量机有更好的分类性能。
An irregular parts layout method based on artificial neural networks is proposed.
提出一种利用人工神经网络求解不规则件排样问题的方法。
This paper puts forwards a new method based on artificial neural networks used for formulating topological layer of influence diagrams in decision class analysis.
提出一种基于人工神经网络的决策集影响图拓扑层自动生成新方法。
Based on the method of artificial neural networks, a new approach is provided to estimate hot rolling quality of the micro alloyed steel.
基于神经网络原理，对微合金钢热轧控制参数的选取进行了研究。
Founded on change speciality of series of dam safety monitoring forecast, artificial neural networks and nonlinear models of time series based on genetic algorithms are applied.
根据大坝监测数据在时序上变化特征，应用了神经网络和基于遗传算法的时间序列的非线性预测模型。
In 3d scanning system based on dot laser, artificial neural networks are used for calibrating the distortion of CCD range sensor.
在点状激光三维扫描技术中，用线阵CCD采集深度坐标，用前馈型人工神经网络对深度坐标进行非线性修正。
The random simulation of dynamic wind load for large-span structures is studied. Wind speed processes based on artificial neural networks are generated.
研究了大跨空间结构脉动风荷载的随机模拟技术，基于神经网络进行了风速时程的随机模拟。
The current methods for fabric handling research were introduced, such as identification systems based on artificial neural networks, the grey relational analysis and physical emulation and so on.
分析比较了当前研究织物风格的几种重要方法：基于神经网络的织物风格识别系统、灰度关联分析法和物理仿真技术等。
The structure and construction method of one kind of distributed fault diagnosis system for box-type transformer substation based on multiple artificial neural networks are described.
提出了一种基于多神经网络的分布式箱式变电站故障诊断系统的结构和构建方法，并介绍了对故障特征信息进行模糊化处理的方法。
Based on the Artificial Neural Networks, an adjusted scheme of the opening velocity of circuit breaker under the influence of the ambient temperature is put forward.
本文分析了环境温度变化对断路器动作特性的影响，提出了基于神经网络的断路器分闸速度受环境温度影响的调节方案。
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