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hybrid prediction
    NEW INTELLIGENT HYBRID PREDICTION MODEL FOR CONDITION TREND OF ELECTROMECHANICAL EQUIPMENT
    一种新的机电设备状态趋势智能混合预测模型
    The Application of Hybrid Prediction Model to Thermal Error Modeling on NC Machine Tools
    数控机床热误差的混合预测模型及应用
    Improved redundant CORDIC algorithm based on hybrid prediction
    一种改进的混合预测冗余CORDIC算法
    A Hybrid Prediction Approach for Stator Insulation Breakdown Voltage of Large Generator Based on PLS Combined With Artificial Neural Network
    基于偏最小二乘神经网络的大电机定子绝缘击穿电压混合预测方法
    (2) Owing to the low prediction precision of the conventional statistic model for crack opening displacements, three statistic model and chaos theory - based hybrid prediction models with higher precision are presented.
    (2)传统的裂缝开度统计模型的预测精度较低,提出了三种预测精度更高的统计与混沌混合预测模型。
    This article presents the use of the chaos method to reconstruct attractors in phase spaces and a multi layer feed forward neural network to fit the attractor's global map, to construct a hybrid prediction model.
    利用混沌方法重构相空间系统吸引子 ,用前向多层神经网络拟合吸引子上的全局整体映射 ,构成混合预测模型。
    This article presents the use of chaos method to reconstruct attractors in phase spaces and a multi-layer feed forward neural network to fit the attractor抯 global map, to construct a hybrid prediction model.
    利用混沌方法重构相空间系统吸引子,用前向神经网络拟和吸引子上的全局整体映射,构成了混合预测模型。
    This article presents the use of the chaos method to reconstruct attractors in phase spaces and a radial basis networks to fit the attractor's global map after the use of wavelet packet analysis to reduce noise,to construct a new hybrid prediction model.
    首先利用小波包进行数据的消噪,然后用混沌方法重构相空间吸引子,用径向基神经网络拟合吸引子上的全局整体映射,构成混合预测模型。
    Due to the fluctuation and complexity of electromechanical equipment operation condition affected by various factors, it is difficult to use a single prediction method to accurately describe its moving trend. So a new hybrid prediction model based on improved grey system, support vector machine (SVM) and neuro-fuzzy system is proposed.
    针对机电设备运行状态受多因素影响,变化趋势复杂,难以用单一预测方法进行有效预测的问题,提出一种新的基于改进灰色系统—支持向量机—神经模糊系统的智能混合预测模型。
    This paper imtroduces a improved redunant CORDIC arithmetic based on hybrid prediction.
    本文提出了一种改进的混合预测CORDIC算法。
    The arithmetic use hybrid prediction design method,discuss the middle value of hybrid angle group under the concrete data format,and present the realization configuration of arithmetic.
    该算法利用混合预测方法的设计思想,讨论了在具体数据格式下,混合角度集中间值的确定,并给出了算法的实现结构。
    The prediction precision of the hybrid prediction model for machine tool thermal errors was the highest among three kinds of prediction models. Therefore,hybrid prediction model can highly improve(machine) tool's processing precision and make it more effective for real-time compensation of NC thermal error.
    结果表明,混合预测模型预测精度高于时序分析模型和灰色系统模型,其优异的预测性能可使数控机床进行实时补偿更加有效,从而大大提高机床热误差的补偿精度.
 

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