本文介绍一种基于非线性映射的聚类分析方法。
This paper introduces a method of gathering analysis in view of nonlinear mapping.
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。
The urbanization levels of districts are evaluated by the method of nonlinear mapping analysis.
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。
Furthermore, neural network model, which has better nonlinear mapping capability, is studied and founded.
利用神经网络的非线性映射及泛化功能，就能很好解决上述问题。
With the non linearity mapping of neural network, this problem can be well handled.
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。
Artificial neural network has good nonlinear mapping and a high degree of parallel processing of information capacity.
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。
The paper discusses nonlinear mapping in real number phase space and energy method of sub-rule spot map in conservative system.
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。
With the nonlinear mapping ability of neural network, this method can give relatively excellent prediction to target.
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。
Network neural is fit for dealing with nonlinear problems especially for its good ability for nonlinear mapping.
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。
In this paper, the seismic records are regarded as the nonlinear mapping of the real geophysics condition.
神经网络技术以较少的实验工作量，建立高精度的变量间的非线性映射模型。
Neural network technique establishes the high accuracy variable's non-linear reflecting model with less experiment workload.
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。
The powerful nonlinear mapping function of BP neural network can settle the nonlinear problem of torque Angle control.
文章同时给出了网络在控制中应用的两种实现结构以及用作非线性映射的一个算例。
Two control structures based on the fuzzy neural network are given. An example of nonlinear function mapping is presented to show advantages of the network.
利用神经网络的学习能力，BP网的任意非线性映射能力可以模拟这复杂的函数关系。
Such non-linear relation can not be worked out by formula, While BP network can simulate such non-linear relation for its random non-linear mapping ability.
根据PID控制器各控制参数与偏差之间的非线性映射关系，设计非线性PID控制器。
According to the non-linear mapping relations between PID controller each control variable and error, design non-linear PID controller.
它依据被控系统的输入输出数据，通过学习得到一个描述系统输入输出关系的非线性映射。
It get the nonlinear mapping to describe the relation of the system's input and output by learning the controlled system's input and output data.
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。
A model for refrigerator energy consumption of a central air-conditioning system was established with nonlinear mapping capability of BP ANN.
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。
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.
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。
In chapter IV, the codon usage preferences in prokaryotic organism are analyzed by nonlinear mapping method.
然后运用神经网络模型的非线性映射能力和学习联想能力，提出了证券市场预测的通用模型。
Then, We creatively make use of the nonlinear reflection ability and association learning ability of artificial neural network, and propose a general model of the stock market prediction.
BP神经网络具有很强的非线性映射和自适应学习功能，可用于模式识别和预测评估等领域。
The BP neural network has ability of nonlinear-mapping and self-accommodating. It can be used to recognize mode, forecast and so on.
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。
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.
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。
It can intelligent evaluate the raft vibration-isolating unit design based on the abilities of nonlinear mapping and self-learning of the BP.
BP网络具有很强的非线性映射能力，能从已有数据中自动地归纳规则，获得这些数据的内在规律。
BP network with the strong nonlinearity mapping ability can summarize the rule from acquired data to obtain the inherent laws of these data automatically.
利用支持向量机表达地基承载力与地基参数之间的非线性映射关系，在此基础上计算地基的承载力。
Support vector machine represented the nonlinear relationship between parameter of foundation and foundation bearing capacity, and compute the foundation bearing capacity based on this relationship.
应用神经网络技术可以较少的试验工作量，建立高精度的变量间非线性映射模型，取得了满意的效果。
Using the neural networks technique and small test work, a high precision model for the non linear reflection of variables has been established and achieved satisfactory results.
本文利用连续同伦方法讨论非线性映射在有界区域内零点的存在性和零点数目，以及推广若干经典定理。
With homotopy methods, this paper discusses the existence and the number of zeroes of nonlinear mappings on bounded regions and extends some classical theorems.
文中分析了云模型的非线性映射特性，同时给出了基于此结构模型的智能控制器的设计方法及仿真实例。
This paper analyses nonlinear mapping characteristics of cloud model, presents the design method of the intelligent controller based on the structure model, and shows some simulation examples.
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 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.
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。
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.
神经网络的联想记忆功能、容错性和鲁棒性以及很好的非线性映射能力，使得这一方法明显优于传统的诊断方法。
The associational memory function, error-correction, robustness and the well non-linear reflection ability make the proposed method superior to the traditional dictionary method apparently.
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