According to the character of non linear network traffic, the traffic time series is decomposed into trend component, period component, mutation component and random component.
文章考虑网络流量非线性的特点，通过不同的数学模型将流量时间序列分解成趋势成分、周期成分、突变成分和随机成分。
In this paper, according to the characteristics of non linear network traffic, traffic behaviors are decomposed into trend items, period items, and random items by an accumulation decomposition model.
本文采用一种累加模型将复杂大规模网络流量分解成趋势项、周期项和随机项。
Taking the advantage of neural network in dealing with non-linear problem, neural network is applied to study the discernment and classification of the strip surface defects.
运用神经网络处理非线性问题的优势，将其应用于带钢表面缺陷的识别与分类研究。
Thus obtains the use neural network method in the simulation the modeling is one effective method, is specially better regarding the non-linear complex system effect.
从而得出利用神经网络方法在仿真中建模是一种行之有效的方法，特别是对于非线性复杂系统效果更佳。
The artificial neural network (ANN) has good processing ability to the non-linear information so that it is suitable for solving the index complexity and fuzzy problem.
人工神经网络具有良好的非线性信息处理能力，特别适宜于解决风险评价中多指标复杂性和不确定性的问题。
There are many issues about the non-linear in the area of computer network and telecommunications.
在计算机网络和通信领域中存在很多非线性的问题。
Ground surface subsidence, involving many factors, is a typical non-linear system. A neural network model can simulate better this system and calculate ground surface movement.
地表沉陷涉及因素较多，是一个典型的非线性系统，神经网络模型能够较好的模拟该系统，进行地表移动变形计算。
A kind of series connection correction network is designed, which can obtain high accuracy of guidance and stability and can greatly restrain the non-linear effect caused by laser coding.
本文设计了一种串联校正网络，可以保证比较高的制导精度和稳定性，并且可以较好地抑制激光编码带来的非线性的影响。
In addition, compared with high non-linear auditory system, artificial neural network has the capability to learn from limit sample sets and map input to output in various dimensions.
并且，对于高度非线性的听觉系统，采用从有限的实际样本中“自学习”到具有输入输出关系能力的人工神经网络模型来实现。
The method, by means of non-linear algorithm of neural network technology, is used to set up a non-linear relation among sonic log curve, SP, Rt, Gr and curves.
该方法通过神经网络技术的非线性算法，在声波曲线与自然电位、电阻率、自然伽马等多条测井曲线之间建立一种非线性关系。
Theoretical analysis and case study show this method can guarantee the network to converge to non inferior solution of the multiobjective linear programming.
理论分析和实例研究证明，该方法能保证网络收敛于原规划的非劣解。
The article analyses the non-linear AV editing network system in detail using Dalian TV station non-linear AV editing network as an example.
本文通过大连电视台非线性视音频编辑网络建设的实例，对非线性视音频网络做了详尽的分析。
Because the BP neural network may realize the free linearity or the non-linear function mapping, it may satisfy the request of the forecast for the endpoint oxygen content.
由于BP神经网络可以实现任意线性或非线性的函数映射，所以可以满足终点氧含量的预报要求。
According to the practical superelevation data measured with single-axis gyroscope platform, the designed non-linear neural network is trained with LM algorithm.
根据陀螺平台实测超高数据，采用LM算法对所设计的非线性神经网络进行训练。
Methods to measure the lightning surge current using a shunt with non-inductance resistors network. The experiments on the repetition, linear degree and the step response are carried out.
方法用无感电阻网络分流器测量雷电冲击电流，并进行测量重复性、线性度试验和阶跃波响应试验。
This paper mainly focused on the problem of fuzzy neural network control of non-linear system and got into further study and then a self-adaptation control system of fuzzy neural network was designed.
本文围绕非线性系统的模糊神经网络控制问题，展开研究，设计了一个自适应模糊神经网络控制系统。
Based upon the theory of combined forecasting, up-standing identity of BP neural network on approaching non-linear data, put forward a combined forecasting model for civil motors.
文章根据组合预测的理论和BP神经网络对非线性数据良好的逼近特性，提出了基于BP神经网络的灰色预测、多项式回归模型的民用汽车运力组合预测模型。
By calculating and analyzing the non-linear relationship between the status of cars with automatic transmission and the optimum shift based on neural-network, the shift schedule model can be obtained.
通过对电控自动变速器汽车的状态与最佳档位之间的非线性关系进行基于神经网络的计算和分析，得出换档规律模型。
After the time series fuzzy fractal processing of the mine gas emission quantity, the non linear relations of the influence factors were combined with BP neural network.
通过对矿井瓦斯涌出量时间序列的模糊分形处理，用BP神经网络对影响因素间的非线性关系进行拟合。
Neural Network is a non linear dynamics kinetics system, which can do a lot of complex jobs, especially in information science.
神经网络是一个非线性动力学系统，在许多方面都表现出强大的生命力，特别为信息科学界所瞩目。
Non-linear Multi-user detection technology including interference cancellation and neural network detection technology.
非线性多用户检测包括干扰消除和神经网络检测技术。
This paper discusses the architecture, function module, workflow and unique dual-network structure of the non-linear editing network system in detail.
本文详细介绍了非线性编辑网络系统的构成、功能模块、工作流程，以及特有的双网运行结构。
Neural network technique establishes the high accuracy variable's non-linear reflecting model with less experiment workload.
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。
Finally, makes a program to test non-linear editing network and obtains the actual test data.
最后提出非线性编辑网络的整体测试方案并进行实际测试，得出相关数据。
In traffic field, Neural Network has good advantage in the non-linear Neural Network, and it 's specially good at problem perfectly solving the traffic in the field of the forward flow forecasting.
神经网络可以很好的解决交通领域内的非线性问题，其中前向型神经网络特别适合对交通流的预测。
To overcome the mismatch, with the backward, non-linear characteristics of temperature control of dope production, the paper introduces the predictive controls based on the neural network PID.
为了克服这种不协调现象，针对涂料生产线中温度控制大滞后、非线性等特点，本文在神经网络PID控制的基础上，引入预测控制思想。
Manual neural network simulates human's thought. But its input and output is highly non-linear mapping. And it also has high intelligence, can trained, with big capacity and etc.
人工神经网络模拟人脑的思维方式，具有输入与输出是一个高度非线性映射关系以及高智能、可训练、超大容量等特点。
The study has shown that BP network can fully describe the non linear relationship of geo materials and has higher ability of solution.
研究表明，BP网络能充分体现岩土材料的非线性关系，具有较高的求解能力。
With the excellence in complex and non-linear information processing, artificial neural network is fitter for the forecasting of fetal weight than traditional regression methods.
对复杂的、非线性信息处理有其独特的优势。在预测胎儿体重这一领域，人工神经网络的方法比传统的回归分析法有着更大的优势。
With the excellence in complex and non-linear information processing, artificial neural network is fitter for the forecasting of fetal weight than traditional regression methods.
对复杂的、非线性信息处理有其独特的优势。在预测胎儿体重这一领域，人工神经网络的方法比传统的回归分析法有着更大的优势。
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