径向基函数神经网络,radial basis function neural network英语短句,例句大全

径向基函数神经网络,radial basis function neural network
1)radial basis function neural network径向基函数神经网络
1.Prediction method research based on radial basis function neural network;基于径向基函数神经网络的预测方法研究
2.Study on new type of radial basis function neural network;新型广义径向基函数神经网络结构研究
3.The Research of Multiuser Detection Algorithm Based on Radial Basis Function Neural Network;基于径向基函数神经网络多用户检测算法的研究

英文短句/例句

1.Application Based on Radial Basis Function Neural Networks基于径向基函数神经网络的应用研究
2.Research on Learning Algorithms of Radial Basis Function Neural Networks;径向基函数神经网络的学习算法研究
3.Improvement of RBF Neural Network Learning Algorithm径向基函数神经网络学习算法的改进
4.An Improved Prediction Model Based on Radial Basis Function Neural Network改进的径向基函数神经网络预测模型
5.Hardware implementation of a combined radial basis function neural network组合径向基函数神经网络的硬件实现
6.Research on Predicting Model of Investment Using Radial Basis Function Neural Network;基于径向基函数神经网络的投资预测模型研究
7.Research into the Image Recognition Based on RBF Network;基于径向基函数神经网络的图像识别研究
8.Study on the Intrusion Detection Technique Based on RBF Neural Network;基于径向基函数神经网络入侵检测技术的研究
9.Applications of Radial Basis Function Neural Networks in Interpolation;基于径向基函数神经网络的插值及其应用
10.Forecast Approach for Traffic Accident Based on Radial Basis Function基于径向基函数神经网络的交通事故预测
11.Rainfall Runoff Prediction Based on Radial Basis Function Neural Network基于径向基函数神经网络降雨产流预测研究
12.Thermal process model identification based on radial basis function neural networks基于径向基函数神经网络的热工过程模型辨识
13.Signal Extraction in Strong Chaotic Interference Based on Radial Basis Function Neural Network基于径向基函数神经网络的混沌背景谐波提取
14.Research on the flatness pattern recognition based on radial basic function network基于径向基函数神经网络的板形模式识别研究
15.Risk assessment of debris flow based on radial basis function neural network基于径向基函数神经网络的泥石流危险性评价
16.Fetal electrocardiogram extraction based on radial basis function neural networks基于径向基函数神经网络的胎儿心电提取
17.Approximation Capabilities of Sum-of-Product Neural Networks and Radial Basis Function Neural Networks;Sum-of-Product神经网络和径向基函数神经网络的逼近能力研究
18.The Application of Radical Base Function Neural Networks in EEG Modeling径向基函数神经网络在脑电信号建模中的应用

相关短句/例句

RBF neural network径向基函数神经网络
1.Optimization control of a distillation column based on the RBF neural network and NLJ algorithm;基于径向基函数神经网络和NLJ优化算法的精馏塔控制
2.Features Recognitioning of 2-D Part Drawing Based on RBF Neural Network;基于径向基函数神经网络的二维零件图特征识别
3.Chaos control of Lorenz system via RBF neural network sliding mode controller;基于径向基函数神经网络的Lorenz混沌系统滑模控制
3)RBFNN径向基函数神经网络
1.Radial Basis Function Neural Network Based on EMG - Model(EMG -RBFNN) is constructed, then a two -phase genetic algorithm (GA)-training structure and evolving parameter is used to train EMG -RBFNN so that it has the ability of reconstructed structure.　方法 :构造了以修正高斯模型 (EMG)为基函数的径向基函数神经网络 (EMG-RBFNN) ,在网络学习算法中提出采用基于共享小生境技术的约束最优保留两阶段遗传算法 :结构学习和参数最速梯度下降进化 ,从而使EMG-RBFNN具有结构学习能力 ,使该神经网络能够适应组分数未知的色谱重叠峰解析。
2.Furthermore,radial basis function neural network(RBFNN) is applied to PD pattern recognition according to the disadvantages of RBFNN.采用了一种Δu模式参量作为局部放电的图谱特征,并采用不变矩作为放电特征;同时,采用了径向基函数神经网络(RBFNN)对局部放电Δu模式参量构成的图谱特征进行识别。
3.An approach,which combines radial basis function Neural Network(RBFNN) with self-learning and self-adaptive characteristics with the traditional PID control,is proposed for the tracking control of electro-hydraulic position servo systems with the uncertainties of parameters.仿真研究表明,利用基于径向基函数神经网络的PID控制能使电液位置伺服系统获得令人满意的跟踪特性和快速响应特性。
4)radial basis function network径向基函数神经网络
1.Two-stage partial least squares regression for constructing radial basis function networks;基于分级偏最小二乘回归的径向基函数神经网络
2.Aiming at the large inertial time-delay characteristic of the fresh steam temperature variations in thermal power plants, a novel PID control strategy with radial basis function network tuning based on chaotic and genetic algorithm was proposed.针对火电厂主汽温控制系统具有大惯性、大迟延等特性,提出一种基于混沌遗传算法的径向基函数神经网络整定PID参数的控制策略。
5)RBF neural networks径向基函数神经网络
6)radial basis function neural networks径向基函数神经网络
1.An time series forecasting model combing radial basis function neural networks and singular spectrum analysis is proposed.本文研究了结合奇异谱分析和径向基函数神经网络对单井原油产量时间序列进行多步预测的方法,证明奇异谱分析方法可以有效地减少多步预测过程中的误差传递,从而提高多步预测的可靠性。