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1)  flexible neural network
柔性神经网络
1.
Research on Flexible Neural Network Control Approach for Switched Reluctance Motor;
开关磁阻电机柔性神经网络控制策略研究
2.
In view of the problem,a method for torque ripple minimization in a position sensorless control of SRM was proposed by modeling based on flexible neural networks(FNN),which have less nerve cells and quicker learning speed.
针对开关磁阻电机驱动系统中位置传感器及转矩脉动的存在限制其应用范围的问题,提出利用网络结构简单、学习效率高的柔性神经网络对其进行建模,进而对开关磁阻电机无位置传感器控制下的转矩波动抑制方法进行了研究。
3.
The proposed algorithm uses a new flexible neural network with the activation function of two parameters changeable to realize estimation of magnetizing current.
所提算法基于具有2个可变参数的sigmoid函数,构建了新型柔性神经网络,以估算CT励磁电流。
2)  Flexible BP NN
柔性BP神经网络
3)  analog flexible neural network
模拟柔性神经网络
1.
A kind of analog flexible neural network of compound orthogonal type and its application method for a direct adaptive control of super-heated steam temperature in a power plant were presented.
模拟柔性神经网络被用作为过热汽温控制系统中的主、副调节器,以改善控制系统的动态性能。
4)  flexible network
柔性网络
1.
Since 2003,the EPSRC has supported large-scale research on the smart grid in the UK,which was called future network technology and now is updated as flexible network.
这一研究在英国先期被称作"未来网络技术",现在则被称作"柔性网络"。
5)  constructive neural network
构造性神经网络
6)  Linear neural network
线性神经网络
1.
Application of linear neural network in calibration of accelerometer;
线性神经网络在加速度计静态模型标定的应用
2.
A Cointegration Analysis Based on Linear Neural Network;
基于线性神经网络的协整分析
3.
In this paper linear neural network was applied to adaptive noise cancellation technology,and the neural network was trained by least mean square (LMS) algorithm.
针对有源滤波器谐波检测实时精度高的要求,将线性神经网络应用于自适应噪声对消技术,采用最小均方(least mean square,LMS)误差算法对神经网络进行训练,通过线性神经网络实现的自适应格型滤波器,每个神经元对输入基波和谐波信号并行协同处理,对电网高次谐波分量进行滤波和预测,较常规滤波器有更好的实时性和鲁棒性。
补充资料:柔性换热网络
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性质:指根据指定的不定参数变化范围,设计一个换热网络结构,使之能够在此范围内维持正常的操作,即满足物料平衡、能量平衡、最小换热温差、非负流量与换热量等约束条件,并具有最大的能量回收和最小的单元数及投资费。

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