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- The rare suspension damping parameters of a jeep were optimized with radial basis function neural network. 以某汽车为例,采用径向基函数神经网络对后悬架的阻尼进行了优化。
- The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning. 与类神经网路学习成效息息相关者有二：类神经网路架构与学习法则。
- The hybrid forecast approach of combining the ARMA mathematical model forecast approach and Radial Basis Function neural network approach is proposed. 提出了将ARMA（自回归滑动平均模型）数学模型预测法与基于径向基函数的神经网络相结合的混合预测方法。
- Via near infrared(NIR) spectroscopy combined with radial basis function neural network(RBFNN), a model for determining pyrazinamide(PZA) content in tablets was established. 采用近红外光谱技术结合径向基神经网络(RBF)建立测定吡嗪酰胺片中吡嗪酰胺含量的定量分析模型。
- The paper introduces the model of Radial Basis Function Neural Network,analyses the characteristic and discusses the method of fault diagnosis of engine based on RBF network. 介绍了RBF网络模型,分析了其特点,并探讨了基于RBF网络的发动机故障诊断方法。
- This Paper mainly concerns the stochastic sensitivity definition for radial basis function neural network and its application in the sense of function approximation. 本文主要考虑的是在函数逼近意义下，径向基神经网络的随机敏感性定义及其应用的问题。
- The decomposed singular value may serve as the flow pattern characteristic vector and the input to a radial basis function neural network (RBFNN) to realize an intelligent identification of the flow pattern. 然后对初始特征向量矩阵进行奇异值分解得到矩阵的奇异值，将其作为流型的特征向量，再结合RBF神经网络形成流型的智能识别方法。
- A fuzzy B-spline function neural network is proposed to control AC servo system by using B-spline function as fuzzy membership function and using neural network to realize fuzzy interfernce. 采用B样条函数作为模糊隶属函数，利用神经网络实现模糊推理，提出一种模糊B样条基函数神经网络，并将其用于交流伺服系统的控制。
- Applies the strict mathematical reasoning, translates the problem of relearning algorithm of redial basis function neural network into the problem additional operation of matrix operation. 应用严格的数学推理方法，将径向基函数神经网络的再学习问题转化为矩阵求逆的附加运算。
- In order to apply redial basis function neural network to recognize the given system step by step, this paper studies the problem of relearning algorithm of redial basis function neural network. 摘要为了应用径向基函数神经网络逐步地识别待研究系统，文章针对径向基函数神经网络的再学习算法开展了深入的研究。
- Defining a new mapping relationship, the generation process of training data is effectively simplified when using the radial basis function neural network (RBFNN) to realize beamforming. 摘要定义了一种新的映射关系，有效地简化了应用径向基函数神经网络(RBFNN)实现波束形成时训练数据的产生。
- Mould parameters and process parameters are chosen as the factors that influence sheet forming.Randomized orthogonal table is used to produce the specimens for radical basis function neural network. 选取模具参数和工艺参数等作为影响冲压成形结果的因素，用正交表和随机法产生径向基函数神经网络的学习样本；
- radial basis function neural network 径向基函数神经网络
- multi weighted value function neural network 多权值函数神经网络
- radial basic function neural network (RBFNN) 径向基神经网络（RBFNN）
- radial basic function neural network(RBFNN) 径向基函数神经网络
- radial basis function neural network (RBF NN) 径向基函数神经网络
- A framework for modeling cylindrical traverse grinding surface roughness using fuzzy basis function neural networks(FBFN) was constructed with adaptive least-square(ALS) training algorithm. 建立了外圆纵向磨削表面粗糙度的模糊基函数网络(FBFN)预测模型,网络的训练采用自适应最小二乘算法(ALS)。
- radial basis function neural network (RBF) 径向基函数网络
- radial basis function neural network (RBF-NN) 径向基函数神经网络
