运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
A prediction model of methanol content at the exit of methanol synthesis reactor was proposed through radial basis function networks and partial least square regression approach.
为了提高制浆过程中的在线预测纸浆卡伯值的精度，提出采用径向基函数网络来建立纸浆卡伯值近红外光谱法在线测量模型。
The radial basis function network is proposed to use in the determination of pulp kappa number with near-infrared spectroscopy in order to increase precision of kappa number determination.
提出了一种免疫聚类径向基函数神经网络(ICRBFNN)模型来预测电力系统短期负荷。
The paper presents an immune clustering RBF neural network (ICRBFNN) model for short-term load forecasting.
提出了一种交替梯度算法对径向基函数(RBF)神经网络的训练方法进行改进，并将之运用于电力系统短期负荷预测。
This paper proposes one kind of alternant gradient algorithm for improving the training of RBF neural network, which is applied to short-term electric load.
给出了基于径向基函数网络的混沌时间序列预测的方法。
A method based on radial basis function networks for forecasting chaotic time series is proposed.
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。
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.
以某厂羟胺反应器的氢离子浓度控制为例，介绍了径向基函数（RBF）神经网络在强非线性对象预测控制中的应用及仿真研究结果。
The application of RBF neural network in hardy nonlinear system and the result of simulation is introduced. An example of pH control in hydroxylamine reactor is described.
机械装备性能衰退趋势预测模型，采用单隐层前馈网络，通过径向基函数的扩展速度的选择创建网络。
The decay trend prediction model of mechanical equipment capability adopted single invisible layer feed forward network and chose the expansion speed of RBF, the network was established.
本文采用径向基函数(RBF)神经网络对货运量进行分析及预测。
The radial basis function (RBF) neural network is adopted to analyze and predict freight volumes.
提出一种基于径向基函数(RBF)神经网络的一步超前预测控制算法。
In this paper, a one-step ahead predictive control algorithm based on Radial base Function (RBF) neural networks is proposed, which needs only one neural network.
结果表明径向基函数网络在学习速度，预测准确性及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。
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.
运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
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.
预测结果表明，径向基函数神经网络需水预测模型运算速度快，有较高的预测精度。
Abundant water demand predicting factors were used as the input data of the model, and the RBF neural network output the water demand predicting values.
预测结果表明，径向基函数神经网络需水预测模型运算速度快，有较高的预测精度。
Abundant water demand predicting factors were used as the input data of the model, and the RBF neural network output the water demand predicting values.
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