• 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学习训练功能提出了基于BP网络完整性检测模型

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  • 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.

    实验数据基础上,利用人工神经网络建立炼机压力与其影响因素之间对应关系数学模型。

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  • 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方法

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  • Based on BP network, the example of nonlinear regression by artificial neural networks is given.

    BP网络给出了基于人工神经网络非线性回归实例分析

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  • Such configured artificial neural networks are knowledge-based fuzzy neural networks.

    这样网络构成了基于知识的模糊神经网络。

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  • 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物理模型,并将人工神经网络引入模型。

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  • 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工业合成丙烯腈流化床反应器数学模型

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  • 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,建立一种识别作用桥梁结构上荷载的力学分析法,以此初步实现方案。

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  • 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.

    抗体网络作为新型基于免疫原理神经网络模型,已有实验验证了其具有良好监督竞争学习能力

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  • This paper proposes and investigates the approach to distinguish signals in communication networks based on artificial neural networks.

    本文提出实现了一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。

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  • 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基础上,提出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。

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  • Inverse system method for nonlinear control based on neural networks was employed to solve the nonlinearity of the pneumatic artificial muscles.

    运用非线性控制系统方法,提出了一种基于神经网络人工非线性控制方案。

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  • A quantitative structure-property relationship (QSPR) model based on artificial neural networks was established to predict the flash points of fatty alcohols.

    建立一个基于人工神经网络方法定量结构-性质相关性(QSPR)研究模型用于预测脂肪醉闪点。

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  • 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.

    本文提出基于人工神经网络可靠性预测方法建立了用于数控机床可靠性预测的BP神经网络模型给出具体算法

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  • 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纸浆浓度传感器非线性估计动态标定方法

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  • 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场地液化预测模型

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  • The study of nonlinear predictive control based on artificial neural networks is carried out.

    研究基于人工神经元网络模型非线性预测控制

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  • 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人工神经网络模型进一步完善成为神经网络专家系统问题进行了探讨,并提出了网络及算法进一步改进的方案

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  • 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).

    提出一种最小二乘支持向量(LS - SVM)构造函数链接神经网络(FLANN)系统传感器动态补偿方法

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  • 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算法倒立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

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  • Compared with multivariate statistics and artificial neural networks, support vector machine based on structure risk minimization has better classification performance.

    统计分析神经网络相比基于结构风险最小支持向量更好分类性能。

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  • 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排样问题方法

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  • 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决策影响拓扑自动生成方法

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  • 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,对合金钢热轧控制参数的选取进行了研究。

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  • 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.

    根据大坝监测数据时序变化特征应用神经网络基于遗传算法时间序列非线性预测模型

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  • In 3d scanning system based on dot laser, artificial neural networks are used for calibrating the distortion of CCD range sensor.

    点状激光扫描技术中,用线阵CCD采集深度坐标,前馈型人工神经网络对深度坐标进行非线性修正。

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  • The random simulation of dynamic wind load for large-span structures is studied. Wind speed processes based on artificial neural networks are generated.

    研究空间结构脉动荷载随机模拟技术,基于神经网络进行了风速的随机模拟。

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  • 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.

    分析比较当前研究织物风格的几种重要方法基于神经网络织物风格识别系统灰度关联分析法物理仿真技术

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  • 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.

    提出基于神经网络分布式箱式变电站故障诊断系统结构构建方法,并介绍故障特征信息进行模糊化处理的方法。

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  • 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.

    本文分析环境温度变化对断路器动作特性影响,提出了基于神经网络断路器分速度环境温度影响的调节方案

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