• This paper introduces a method of gathering analysis in view of nonlinear mapping.

    本文介绍一种基于非线性映射的聚类分析方法。

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  • The urbanization levels of districts are evaluated by the method of nonlinear mapping analysis.

    采用非线性映射分析方法对区域城市化水平进行了聚类分析。

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  • 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。

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  • In this paper, the seismic records are regarded as the nonlinear mapping of the real geophysics condition.

    本文认为,从地层的真实映象到我们获得的地震资料是一种非线性映射。

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  • The GA-BP model is built by the nonlinear mapping ability of BP network and the global optimization of GA.

    在GA - BP模型中主要是利用了BP网络的非线性映射能力和GA的全局优化能力。

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  • In chapter IV, the codon usage preferences in prokaryotic organism are analyzed by nonlinear mapping method.

    论文第四章重点介绍用非线性映射方法分析原核生物基因密码子使用情况并得到的相关结论。

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  • There is complex nonlinear mapping between the object space and image space in the 3d machine vision metrology.

    在立体视觉的激光扫描测量系统中,物体的空间坐标与计算机图像坐标之间存在着复杂的非线性映射关系。

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  • Network neural is fit for dealing with nonlinear problems especially for its good ability for nonlinear mapping.

    神经网络具有良好的非线性映射能力,特别适合于处理各种非线性问题。

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  • With the nonlinear mapping ability of neural network, this method can give relatively excellent prediction to target.

    该方法利用了神经网络的非线性映射能力,能够较好地对目标进行预测。

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  • The powerful nonlinear mapping function of BP neural network can settle the nonlinear problem of torque Angle control.

    BP神经网络具有强大的非线性映射能力,可以解决转矩角控制中的非线性问题。

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  • Artificial neural network has good nonlinear mapping and a high degree of parallel processing of information capacity.

    人工神经网络具有良好的非线性映射和高度的并行处理信息能力。

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  • In cross sectional imaging measurement system, there is complex nonlinear mapping between the object space and image space.

    在层去图象法测量系统中,物体的空间坐标与截面图象坐标之间存在着复杂的非线性映射关系。

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  • The paper discusses nonlinear mapping in real number phase space and energy method of sub-rule spot map in conservative system.

    探讨了实数相空间的非线性映射和保守系统准规则斑图的能量画法。

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  • The AFNNS has the abilities of nonlinear mapping and self-learning property and can be used to achieve the nonlinear model of the noise.

    由于自适应模糊神经网络系统具有非线性映射和自学习能力,能够用于噪声信号的非线性建模。

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  • Most of time, effective decision-making in strategic situations requires nonlinear mapping between stimulus and the appropriate decision.

    在大多数情况下,某种特定环境的情况参数需要以非线性的方式映射到最终的决策。

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  • The prediction of the commercial housing sale volume is essentially to realize a nonlinear mapping from the input space to the output space.

    商品房销售量预测实质上是实现一个非线性的映射。

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  • It can intelligent evaluate the raft vibration-isolating unit design based on the abilities of nonlinear mapping and self-learning of the BP.

    智能评估系统能利用BP网络的非线性映射和自学习能力,对浮筏隔振装置方案设计进行智能评估。

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  • A model for refrigerator energy consumption of a central air-conditioning system was established with nonlinear mapping capability of BP ANN.

    利用BP人工神经网络的非线性映射能力,研究建立了中央空调系统制冷机的能量消耗模型。

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  • There is complex nonlinear mapping between the object space and image space due to many factors in cross-sectional imaging measurement system.

    在层去图象法测量系统中,由于诸多因素的影响,物体的空间坐标与截面图象坐标之间存在着复杂的非线性映射关系。

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  • Two theoretical models are described to show the characters and correct calculation procedure of Q nonlinear mapping method. Real data analysis is made.

    文章首先给出两个理论模型来展示Q式非线性映射分析方法的特点及计算程序的正确性,然后对实际资料进行分析。

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  • In this model, the continuous input-output mapping of the system is realized by nonlinear mapping capability to the time variable of process neural networks.

    该模型利用过程神经元网络所具有的对时间变量的非线性映射能力,实现系统的输入、输出之间的连续映射关系。

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  • This paper proposes the classification of the neural network controller architecture and dynamic neural network structure, and clarifies its nonlinear mapping ability.

    提出了神经网络控制器的分类以及非线性映射特性,讨论了神经网络控制器的特点。

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  • This method utilizes the nonlinear mapping ability of the BP neural network. By training, the BP neural network achieves the error compensation for multi sensor system.

    该方法利用BP网络较强的非线性映射能力,网络通过学习能实现对传感器系统误差的补偿。

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  • The coordinated control system has dynamic characteristic of nonlinear, varying parameter. Utilizing nonlinear mapping-capability of neural network solves these problems well.

    利用神经网络的非线性映射能力,能很好地解决负荷协调控制对象的动态特性具有非线性、时变性、参数可变等问题。

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  • Because the feedforward neural network has an ability of approach to arbitrary nonlinear mapping, it can be used effectively in the modeling and controlling of nonlinear system.

    前馈神经网络由于具有理论上逼近任意非线性连续映射的能力,因而非常适合于非线性系统建模及构成自适应控制。

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  • In this paper, the emphasis is placed on the technique for reducing the dimensions. The principal analysis, correspondence analysis and nonlinear mapping are described in detail.

    论文中重点介绍了该种方法的降维思想,以及用主成分分析方法、对应分析方法和非线性映射方法解决问题的步骤。

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  • The nonlinear mapping relation among the PSD of vehicle body centroid vertical acceleration, pitching angular acceleration and the road surface were found by RBF neural networks.

    应用rbf神经网络建立了汽车车身质心垂直加速度功率谱密度、俯仰角加速度功率谱密度和路面功率谱密度之间的非线性映射模型。

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  • By using ANN and its powerful nonlinear mapping ability and combining production of FEM dynamic analysis, a new way to predicting terrane crack depth of complex fire hole is offered.

    以神经网络为基本工具,利用其强大的非线性映射能力,并结合有限元法动力分析成果,为预测在复合射孔条件下岩层裂缝扩展深度提供了一条新的途径。

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  • The artificial neural network has the character of express arbitrary nonlinear mapping, thus, it works very well in operating classification and learning, and its tolerant errors as well.

    人工神经网络具有表达任意非线性映射的特性,从而在分类、学习和容错方面表现了较好的能力。

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  • The artificial neural network has the character of express arbitrary nonlinear mapping, thus, it works very well in operating classification and learning, and its tolerant errors as well.

    人工神经网络具有表达任意非线性映射的特性,从而在分类、学习和容错方面表现了较好的能力。

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