本文采用动态小波神经网络方法，对复合材料疲劳剩余寿命进行了预测，结果与试验结果很接近。
The dynamic wavelet neural network method is applied to predict the fatigue residual life of the composite material. The predicting result is very close to the testing result.
综合比较了核机器方法与人工神经网络法的预测效果，同时展示了常规核与复合核的性能对比。
Experiment results show that, kernel machine method is better than artificial neural network, and compound kernel functions is better than common single kernel functions.
以同样方法对复合氨基酸注射液进行测定，通过训练好的网络进行色氨酸、酪氨酸含量的计算，相对误差分别为4.0％和2.6％。
The method has been applied to the determination of tryptophan and tyrosine in compound amino acid injection, and the relative errors were 4.0% and 2.6% .
并对装设有svc的两区域四机电力系统进行计算机数字仿真，结果表明基于神经网络逆系统方法设计出的复合非线性控制器可以有效地改善SVC控制性能。
The simulation of the two-area four-machine SVC system verifies that the compound nonlinear controller designed by the proposed method can effectively improve the control ability of SVC system.
依据复合故障特性，提出了一种基于信息融合与神经网络的复合振动故障诊断方法。
According to the compound vibration fault attribute, a method of compound vibration fault diagnosis based on information fusion and neural networks is proposed.
依据四端网络的基本原理，利用力电类比的方法，给出了复合变幅杆的等效电路图；
Based on the theory of four-end network, the equivalent electric circuit diagrams of the horn are given by using the analogous method between methanical force and electric.
通过用聚丙烯微孔膜含浸混合单体然后原位共聚合的方法成功地制得了新型聚丙烯基互穿聚合物网络复合膜。
A novel polypropylene based interpenetrating polymer networks (IPN) was prepared via insitu copolymerization of mixed monomers within the pores of a microporous polypropylene membrane.
对现行的深层搅拌桩设计方法存在的问题进行探讨，提出了用人工神经网络模型对复合地基承载力进行计算的新思路。
A new athematics model of artificialneural network is set up and applied to the calculation of the bearing capacity of compound foundation to deep mixing pile.
本文运用正交试验法优化了对复合沉积层中纳米颗粒复合量有较大影响的各工艺参数，然后用BP神经网络分析方法对其结果进行分析处理。
In this paper, the optimized process parameters that have major influence on nanoparticle content were obtained by orthogonal test, and the result was further analyzed by BP neural network.
该文提出一种新的复合弹簧网络模型和方法，利用分布式弹性动力学方程，将MAS分布式问题求解过程转变为对应的复合弹簧网络形变过程。
This paper presents a new approach to distributed problem solving for MAS, which makes use of the distributed elastic dynamics of a composite spring network model.
为了改善网络性能，采用自适应警戒参数的方法对网络进行优化；采用多SFAM分类器集成复合的方法克服分类缺陷。
In order to improve network performance, the adaptive alert parameters was applied to optimize the network, and Multi-SFAM compounded classifier was used to overcome the classification defect.
进而提出了一种将计算力学、神经网络和实验模态分析相结合的复合材料结构脱层损伤检测的新方法。
Furthermore, a new method combining computational mechanics, neural network and experimental modal analysis was demonstrated for composite health monitoring.
由于实际电力系统输入限幅、工作区域受限等因素的影响，采用神经网络逆系统方法对被控电力系统进行反馈线性化解耦后的复合系统并非理想的解耦线性系统。
As the system's controlling inputs and operating region are constrained in real power systems, the decoupled and linearized system derived by ANN inversion method is not an ideal one.
针对煤层气的特性，本文提出了一种基于CMAC神经网络和PID复合控制的空燃比控制方法，并对其算法进行了详细的阐述。
Aimed at the characteristics of coal bed methane, an air-fuel ratio control method which is based on CMAC neural network and PID is adopted and its arithmetic is elaborated in this article.
试验结果表明，所提出的故障诊断方法能够较精确实现滚动轴承多部位的单一、复合故障的定位和模式识别，效果明显好于单一网络。
The results show that this method is available to recognize the fault location and pattern accurately and better than that without knowledge increase ability.
试验结果表明，所提出的故障诊断方法能够较精确实现滚动轴承多部位的单一、复合故障的定位和模式识别，效果明显好于单一网络。
The results show that this method is available to recognize the fault location and pattern accurately and better than that without knowledge increase ability.
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