在人工神经网络建模过程中，采用主成分分析的方法对网络的输入数据进行预处理，显著提高了网络的学习速度。
In the process of modeling ANN, in order to accelerate the back-propagation learning process, the inputs of the ANN are processed in advance by principal component analysis.
以江阴兴澄钢铁公司的实际数据进行实验，结果表明，支持向量机方法有着良好的泛化能力，优于人工神经网络建模方法。
With real data collected from Jiangyin Xingcheng Steel Work CO. LTD, experiments show that SVM-based method is effective and superior to ANN-based method on generalization performance.
为了提高轧制力模型预报值的精度，提出了一种基于人工神经网络的轧制力建模新方法。
For improving the precision of prediction of rolling model, a new method using artificial neural networks of rolling force modeling is put forward.
第二种方法是一种新颖的建模策略，它把晶体生长率作为非线性逼近器的人工神经网络（ANN）与由蔗糖晶体质量平衡所表述的先前既定的知识相结合。
The second is a novel modeling strategy that combines an artificial neural network(ANN)as an approximator of the growth rate with prior knowledge represented by the mass balance of sucrose crystal.
硝酸生产过程优化问题的建模采用人工神经网络完成。
The nitric acid production process optimization question modeling uses the artificial neural network to complete.
第一种建模方法为人工神经网络模型。
The first modeling approach is artificial neural network (NN).
相对于传统的数值方法，人工神经网络具有建模迅速、实现方法简单、求解速度快等优点。
Comparing with the traditional valve method, the artificial nerve network has advantages that setting up model fast, realization method simple and solution speed quick and so on.
综述了近年来人工神经网络在飞行器系统建模与控制中的应用研究概况。
The recent study on the application of neural networks to the aircraft system modelling and control is overviewed in this paper.
首先用一种人工神经网络和线性动态系统的串级模型对非线性动态系统建模，这种模型具有很大的确定性与通用性。
First, a cascade model with neural networks and linear dynamic systems, which is determinate and general, is used in modeling the nonlinear dynamic systems.
作为一种建模理论，神经网络具有分布式、自学习等其它方法所不具备的人工智能优势。
Being as a modeling theory, the Artificial Neural Network (ANN) has been widely used with a lot of special advantages, such as, performance of distribution processing and self-learning.
研究将人工神经网络作为一种新型的现代设计方法的可行性，并进一步研究人工神经网络在机械设计中的建模技术。
The feasibility for regarding ANN as a new modern designing method is discussed and the technology of modeling in the field of mechanical designing is investigated.
人工神经网络BP算法可有效解决非线性数学建模问题，并具有较强的并行处理能力。
The ANN BP arithmetic can solve the problem of nonlinear mathematics effectively, and possess higher collateral processing ability.
本文开拓了膜下滴灌条件下棉花水分响应模型建模理论的新思路。 （2）建立了两种三层结构的BP人工神经网络模型预报土壤墒情。
Two types of model with three layers structure based on BP artificial neural network to forecast soil moisture have been set up.
人工神经网络技术广泛应用于复杂系统的建模中，已成为材料科学研究中常用的建模方法。
Artificial neural network (ANN) is widely applied to the modeling of complex systems, and now it has become a common modeling method in the study of materials science.
提出了深基坑变形预报的人工神经网络法，详细介绍了该方法的建模和应用实例。
The study shows that the method is feasible for deformation prediction in deep foundation pit engineering.
本文在用人工神经网络BP模型对流域年均含沙量进行多因素建模过程中，对BP算法进行了改进。
In this paper we have improved the BP algorithm in the processes of applying BP algorithm of artificial neural networks for the annual average sediment concentration in a watershed by multi-factors.
本文在用人工神经网络BP模型对流域年均含沙量进行多因素建模过程中，对BP算法进行了改进。
In this paper we have improved the BP algorithm in the processes of applying BP algorithm of artificial neural networks for the annual average sediment concentration in a watershed by multi-factors.
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