利用径向基函数神经网络和选择的特征值对缺陷进行分类。
Defects are classified by radial basis function (RBF) network and features selected.
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。
Finally, the cylinder pressure is identified by using radial base function (RBF) network, which is featured with the powerful functional approach.
介绍了利用径向基函数神经网络进行水轮机综合特性曲线数据处理的方法。
The method of data treatment concerning hydroturbine synthetic characteristic curve by radial basis networks is introduced.
提出了利用径向基函数神经网络进行水轮机综合特性曲线数据处理的方法，建立了相应的数学模型和约束条件。
The method for data processing of synthetic characteristics curve of hydraulic turbine is proposed, the corresponding mathematical model and the condition of constraint is established.
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。
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.
本文对径向基函数网络提出了一种新的学习算法，利用最小均熵差准则对训练样本进行模式聚类。
This paper presents a new leaning method for radial basis function network, minimum mean entropy difference criterion algorithm is used to get pattern cluster of training sets.
利用最小均方差来调整网络的权值，使径向基函数快速收敛，获得较佳pid控制参数，达到对转速跟随控制。
The weights of network adjusted by using the least mean square made fast convergence of radial basis function to obtain better PID control parameters and achieve the speed tracked control.
同时利用基于MATLAB环境下的径向基函数网络，建立了回热系统故障诊断模型。
Meanwhile, by utilizing a radial base-function network based on a MATLAB environment established was a fault diagnostic model for the regenerative heating system.
利用时变基频的求解方法，建立基于径向基函数网络的时变基频识别模型，解决“深度”复杂性问题；
The identifying model of time variation was built, on the basis of radial basis function neural network to solve the problem of diagnosis depth.
利用时变基频的求解方法，建立基于径向基函数网络的时变基频识别模型，解决“深度”复杂性问题；
The identifying model of time variation was built, on the basis of radial basis function neural network to solve the problem of diagnosis depth.
应用推荐