As to the complicated nonlinear relation existing between running status of gear reducer and characteristic parameters, PCA-based RBF neural network reducer running status diagnostics is put forward.
针对减速箱运行状态和特征参数之间存在的复杂非线性关系，提出了基于主成分分析的RBF神经网络减速箱运行状态诊断方法。
Checked by the experiments, the improved RBF network has less hidden neural units than before, at the same time keep the accurate of RBF based classifier.
经实验证明，基于改进后的RBF网络具有更少的隐含神经元，但仍然保持了基于RBF网络分类器的准确率。
Based on the idea of data parallelism, a parallel training model for RBF (radial basis function) neural network in time-series prediction to improve the training speed is proposed.
根据数据并行的思想，提出了在时序预测中并行训练神经网络的模型，以提高训练速度。
Based on the thought of inverse system control, a method of on-line self-learning control strategy was proposed, which combines inverse control based on RBF neural network with PID control.
基于逆动力学控制的思想，提出一种RBF神经网络逆控制与PID控制相结合的在线自学习控制方案。
This paper presents a new method of text categorization based on the CHI value theory, RBF Neural Network and decision tree.
该文根据CH I值原理、基于R BF神经网络和决策树原理，提出了一种文本分类的新方法。
Based on a large amount of sand soil data, a model for prediction is set up and practical effectiveness of the theory RBF neural network is discussed.
讨论了基于RBF神经网络技术的沙土液化预测分析方法及其有效性。
Based on BP and RBF neural network model, the dynamic error of experiment was modeled and forecasted.
基于BP、R BF神经网络模型对实验系统的动态误差进行建模和预测。
This thesis constructs an IDS based on RBF neural network, which gives the basic thinking of design and the arithmetic, the method of collection and beforehand disposal way of the sample data.
本文主要构建了一种基于RBF神经网络的入侵检测系统，给出了基本的设计思想和算法，以及样本数据的收集和预处理方法。
With the full consideration of engineering practicability, based on the RBF neural network, a new solution to the boundary set-up and identification of unmarked operational area is proposed.
充分考虑到智能割草机器人的工程实用性，基于RBF神经网络算法，提出在无人为标识的草坪区域中建立边界和识别边界的新方案。
RBF neural network-based method for action recognition is presented by using the contours of image sequence as representative descriptors of human posture to achieve daily human actions recognition.
提出了一种以人的动作序列图像的轮廓为特征，基于RBF神经网络的日常行为识别方法。
Then RBF neural network used in nonlinear processing of speech signals based on chaos aspects is presented.
最后阐述应用rbf神经网络进行基于混沌的语音信号非线性处理。
A new kind of training method of RBF neural network is given, which is a method based on strong tracking filter.
文中给出了一种新的RBF神经网络训练方法，即基于强跟踪滤波器的训练方法。
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。
A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
提出了一种基于人工免疫原理的最优r BF模糊神经网络控制器设计方案。
Energy consumption prediction is made by the use of radial basis function (RBF) neural network method, and energy consumption prediction model based on RBF neural network is established.
采用径向基函数(RBF)神经网络方法进行能源消费量预测，建立了基于RBF神经网络的能源消费量预测模型。
Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.
提出了一种基于免疫识别原理的径向基函数神经网络学习算法。
A new method for realizing the temperature compensation of capacitive pressure transducer based on radial basis function (RBF) neural network is proposed.
提出了一种基于径向基函数(RBF)神经网络的电容式压力传感器温度补偿方法。
According to the characteristics of heat supply and the demands of energy-saving control, heat load forecasting based on RBF neural network and time series crossover is proposed.
针对供热过程的特点及节能控制的需要，提出基于RBF神经网络的时间序列交叉供热负荷预报法。
This paper gives a data fusion structure based on RBF neural network and D-S inference and its application in the fault diagnosis of bearing.
提出一种基于RBF神经网络和D - S证据理论相结合的数据融合结构应用于轴承故障诊断。
A neural network based on radial basis function (RBF) was used to predict and compensate the thermal error of a CNC turning center.
文中使用径向基函数理论建立了基于RBF神经网络的数控机床热误差数学模型。
This paper addressed the model of fire detector based on RBF neural network.
本文探讨运用RBF神经网络建立火灾探测器模型。
Then an end-point forecast model was built based on the RBF neural network by analyzing the melting technology and the RBF training algorithm.
然后通过对真空感应冶炼工艺机理的深入分析以及对神经网络算法的研究，建立了基于RBF神经网络的终点预报模型。
A novel radial basis function neural network based on ant colony clustering (RBF-ACC) was proposed.
提出了一种基于蚁群聚类算法的径向基神经网络。
As for it, by improving learning algorithm of traditional RBF neural network, a new dynamic cluster-based self-generated method for hidden layer nodes is proposed.
对此，本文改进了R BF神经网络的学习算法，提出了一种基于聚类的动态自生成隐含层节点的思想。
A prediction model of molten steel temperature based on RBF neural network was developed to reduce cost and improve temperature control accuracy for vacuum induction melting.
针对真空感应炉生产过程中温度测量成本较高及精度较差等不足，建立了基于RBF神经网络的真空感应炉终点钢水温度预报模型。
The learning algorithm of membership function based on the RBF Neural Network is discussed and an example is given to demonstrate the validity of this algorithm.
文中探讨了一种用于提取模糊规则的RBF神经网络结构，提出了基于此网路结构的模糊隶属度函数学习算法，最后给出了用于验证该算法有效性的仿真实例。
An intelligent model for a ship's horizontal motion, which can self-adapt with navigating speed, ocean condition and course, was established based on the Radial Basis Function (RBF) neural network.
以某水面舰艇为研究对象，利用径向基函数神经网络算法和标况下的水池实验数据，建立了基于航速、航向角和海情自适应变化的船舶横向运动非线性参数模型。
So the conversion of GPS height based on RBF neural network algorithm is feasible and effective.
由此可见，RBF神经网络方法用于转换GPS高程是可行和有效的。
So the conversion of GPS height based on RBF neural network algorithm is feasible and effective.
由此可见，RBF神经网络方法用于转换GPS高程是可行和有效的。
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