• The radial basis function network (RBFN) has good extensible and classified (ability).

    径向函数网络具有良好的推广能力分类能力。

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  • Due to the localized nature, RBFN can be trained quickly and can avoid falling into local minima.

    由于局部性质RBFN快速训练避免陷入局部最小

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  • The classification mechanism of a radial basis function network (RBFN) is investigated in this paper.

    本文研究径向函数网络(RBFN)分类机理问题。

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  • The problem of recognition of numeric text in topographic maps based on radial basis function network (RBFN) is discussed in this paper.

    讨论基于径向函数网络(RBFN)的地图数字注记识别问题

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  • The radial basis function networks (RBFN) was combined with the cyclic subspace regression (CSR) in this paper, and a modeling approach by RBFN-CSR was designed.

    运用径向函数网络结合偏最小二回归方法建立了甲醇合成反应器出口甲醇含量的预测模型。

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  • The gear shifting modeling problem for automated transmission is studied. The gear shift modeling method using radial basis function networks(RBFN) and arithmetic is introduced.

    研究了车辆自动变速器换挡建模问题,介绍了利用径向神经网络(RBFN)的换挡建模方法算法;

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  • On the basis of analysis of the process mechanism, the model for soft measurement of the dry-point of crude gasoline delayed coking is established by using PLS-RBFN parallel method.

    分析工艺机理基础上PLS- RBFN并联方法建立延迟焦化汽油干点测量模型

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  • The modeling results indicated that the RBFN is much better than the BPN on learning speed, prediction accuracy and generalization ability. The paper provides a reference for GRW design.

    结果表明径向基函数网络学习速度预测准确性网络推广能力方面均优于BP网络,本文方法可用于加筋支挡结构的设计参考。

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  • The modeling results indicated that the RBFN is much better than the BPN on learning speed, prediction accuracy and generalization ability. The paper provides a reference for GRW design.

    结果表明径向基函数网络学习速度预测准确性网络推广能力方面均优于BP网络,本文方法可用于加筋支挡结构的设计参考。

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