提出了一种基于磁声电相互耦合的神经电流检测方法。
A novel method of coupling magnetics, acoustics and electrics is presented to measure neural currents.
幸运的是，如今一种无痛设备已经可以通过探测神经元输送到大脑的电流信号来检测婴儿听力。
Fortunately, a baby's hearing can now be tested painlessly through a device that detects electrical potential in the nerves that carry sound to the brain.
基于自适应噪声对消技术及人工神经网络(ANN)理论，提出了一种谐波电流动态检测方法。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, this paper proposes a new approach to the dynamic detecting harmonics.
将自适应噪声对消技术用于谐波和无功电流检测，提出了一种基于神经网络的自适应检测的新方法。
Using the adaptive noise canceling technology, this paper proposes a new detecting approach of harmonics and reactive currents based on neural networks.
本文将自适应线性神经网络理论应用于非线性负载电流中畸变电流的检测。
Adaptive linear neural network is used for detecting the distortion currents of nonlinear loads.
本文通过检测电流信号基于随机模糊神经网络建立了刀具磨损量的软测量模型。
Through measuring the electric current signal, the soft sensing model used for tool wear estimation based on stochastic fuzzy neural network(SFNN) is presented in this paper.
基于神经网络的非线性映射特性，提出了一种适用于直接电流控制的静止无功发生器检测无功和谐波电流的方法。
Basing on the image character of nonlinearity of neural network, the article introduces a method of detecting reactive and harmonic current which is fit for SVG's control by direct current.
文章将自适应噪声对消技术用于有源滤波器的电流检测，提出了一种基于神经元网络的自适应检测方法。
Using adaptive noise cancelling technology, an adaptive detecting approach of currents based on neural network for active power filter is proposed in this paper.
基于自适应噪声抵消方法和人工神经网络(ANN)理论，提出一种谐波电流检测分析方法。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, an approach for harmonics detection and analysis is presented.
基于人工神经元自适应的谐波电流检测方法，能够准确、实时地检测电网中的谐波，且有一定的自适应能力。
With adaptive ability, harmonic current detecting approach, based on ANN, can accurately and real-timely detect harmonic currents for power network.
为了提高流动电流仪（SCM）对自来水浊度检测的精度，文章提出了一种基于神经网络数据融合技术的数据处理方法。
This paper gives a methodology based on data fusion and realized by artificial Neural Networks to improve the accuracy of SCM which is used to measure the degree of turbidity of water supplying.
其次，论文引入了神经网络，设计了用于无功电流检测的BP神经网络结构，并给出了相应算法。
Secondly, in this thesis, a structure of BP Neural Network for detecting reactive current is designed and the corresponding algorithm is given.
通过对有源电力滤波器神经元自适应谐波电流检测方法的探讨，提出了一种模拟电路实现方案。
In this paper, according to the neuron adaptive detecting approach of harmonic current for APF, the realization scheme of an analog circuit is first proposed.
通过对有源电力滤波器神经元自适应谐波电流检测方法的探讨，提出了一种模拟电路实现方案。
In this paper, according to the neuron adaptive detecting approach of harmonic current for APF, the realization scheme of an analog circuit is first proposed.
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