• Then immune evolutionary algorithm is used to train the RBF network, which reduces the searching space of canonical evolutionary algorithm and improves the convergence speed.

    采用免疫进化算法训练r BF网络,进一步缩小了标准进化算法搜索空间的范围,提高了算法的收敛速度。

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  • A new method of subtractive clustering RBF network for air condition breeze fan fault diagnosis is presented.

    提出了一种减聚类径向基函数神经网络的纺织空调送风风机故障诊断方法。

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  • The application of the algorithm in multiuser detection problems demonstrates that the RBF network trained with the algorithm is concise in structure and has good anti-MAI performance.

    将该方法用于多用户检测问题的实验结果表明,采用这种混合算法训练的RBF网络结构精简,具有很好的抗多址干扰的性能。

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  • A recursive least squares algorithm for linking weight between linear layers of RBF network is introduced, and a dynamic recursive algorithm of center vector is proposed.

    介绍了RBF网络线性层权值的训练算法——递推最小二乘法,及中心向量的动态递推算法。

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  • Experimental study showed that as a local and whole conjunction neural network RBF network can be trained very quickly, and can overcome shortcomings of local minimum pole in BP networks.

    通过实验研究,体现了RBF神经网络作为一种局部全连接网络,训练速度快,克服了BP网络的局部极小点问题。

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  • The paper presented an idea of applying information fusion technology based on RBF network in fault diagnosis of gas sensor.

    文章提出了将基于RBF网络的信息融合技术应用于瓦斯传感器故障诊断的思想。

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  • Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.

    针对文本自动分类问题,提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。

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  • The structure and features of radial basis function (RBF) network are introduced.

    介绍了径向基函数(RBF)神经网络的结构和特点。

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  • RBF network on line recognition, single neuron PID control and control algorithm are introduced.

    介绍了RBF网络在线辨识、单神经元PID控制器和控制算法。

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  • In this paper, we put forward using RBF network to flatness pattern recognition.

    本文提出了基于模糊距离的R BF网络板形缺陷模式识别法。

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  • Finally, the cylinder pressure is identified by using radial base function (RBF) network, which is featured with the powerful functional approach.

    最后,利用径向基函数网络强大的函数逼近功能,识别内燃机气缸压力。

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  • Surface reconstruction for complex micro-landform is proposed using RBF network model in this paper and RBF network fit for curved surface reconstruction is accordingly established.

    采用RBF网络模型进行复杂微地形曲面重构,建立了适应于曲面重构的RBF网络模型。

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  • This paper introduces the radial basis function (RBF) network in the seismic data processing, and realizes the inserting data in seismic data processing with function approximation method.

    该文将径向基函数网络引入地震数据处理中,实现了函数逼近法地震数据的插值处理,在实际地震数据处理中取得了较好的应用效果。

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  • Aiming at the problem of weak object detection with complex background, a detection algorithm based on composite RBF network and chaotic theory is presented in this paper.

    针对复杂背景中的弱目标检测问题,提出了一种基于组合r BF网络及混沌理论的检测算法。

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  • A novel approach of nonlinear distortion compensation technique based on RBF network is proposed here.

    提出了一种基于RBF神经网络的非线性失真补偿技术。

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  • A nonlinear internal model control (IMC) strategy based on radial basis function (RBF) network models was proposed for bulk polymerization of styrene.

    文中研究基于径向基(RBF)神经网络算法的内模控制策略在苯乙烯本体聚合反应相对分子质量分布控制领域的应用。

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  • A learning algorithm of subtractive clustering for RBF network is used to obtain the parameters of radial basis function so as to optimize network structure.

    在RBF网络中采用了一种减聚类的学习算法来确定径向基函数的相应参数,使网络结构得到优化。

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  • The RBF network function approximation theory and method are introduced, and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).

    介绍了径向基函数网络的函数逼近原理和方法,提出了一种基于广义回归神经网络(GRNN)的传感器非线性误差校正方法。

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  • Radial basis function (RBF) network have unique advantages in control applications due to its features of simple topological structure, quick convergence speed and no local minima.

    径向基函数(RBF)神经网络由于其结构简单、收敛速度快、无局部极小等特点使其在控制中的应用有着独特的优势。

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  • Simulation results show that combined RBF network is prior to traditional networks.

    结果表明,该网络较传统的分类方法有着很大的优越性。

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  • In addition, this paper studies RBF network, realizes the method of orthodoxy least square, gets rapid speed than BP network by 20, and the quality of speech has a little improvement than BP.

    另外又研究了RBF网络,实现一种叫“正交最小二乘法”的网络训练方法,获得较BP网络快20倍的训练速度,同时语音质量略有提高。

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  • A new model of lake and reservoir eutrophication assessment can be established with RBF network of artificial neural network.

    运用人工神经网络中的RBF网络算法,建立一种新的湖库水质富营养化程度评价模型。

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  • The RBF network in rolling mill eccentricity compensation system is introduced, and the block diagram of eccentricity compensation is given.

    将R BF网络引入轧机中轧辊的偏心补偿系统中。给出了实现偏心补偿控制的系统结构框图。

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  • The RBF network possesses the advantages of Kohonen and regression networks. A test was performed to prove the effectiveness of RBF to complement the incomplete spatial information.

    利用径向基人工神经网络(RBF)同时具有自组织神经网络和回归网络的优点,可以对缺失数据进行预测。

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  • Through constructing the RBF network approximation facility, this paper proposes a novel fault diagnosis structure and method applying RBF network to the fault diagnosis of drum level sensor.

    本文将基于RBF网络的信息融合技术应用于水位传感器的故障诊断,通过构建高精度RBF 网络逼近器,提出了一种新的故障诊断结构和诊断方法。

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  • In this paper, the fifing method which stimulates the Geoid using quadric polynomial, BP network and RBF network are provided for the GPS height conversion.

    本文采用二次曲面拟合、BP网络和RBF网络进行了GPS高程转换,并在网络结构改进等方面作了分析。

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  • The basic structure of evolving knowledge library, the structural principle of RBF network and the procedures of building knowledge library with RBF neural network are presented.

    介绍了产生式知识库的基本结构,RBF网络的构成原理及采用RBF神经网络构建知识库的过程。

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  • In this article, the research and applied of BP network and RBF network as well as wavelet neural network in power load forecasting has been summarized in detail.

    详细综述了BP网络、R BF网络以及小波神经网络在电力负荷预测领域的研究和应用现状。

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  • In this article, the research and applied of BP network and RBF network as well as wavelet neural network in power load forecasting has been summarized in detail.

    详细综述了BP网络、R BF网络以及小波神经网络在电力负荷预测领域的研究和应用现状。

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