Multi-layered nonlinear neural network is now an effective technology for gas chimney research.
“多层非线性神经网络技术”是目前研究气烟囱比较有效的方法。
A class of nonlinear neural network adaptive control systems is studied and a new design concept based on double errors was proposed in this paper.
本文研究一类非线性神经网络自适应控制系统，提出一种基于双误差——辨识误差和跟踪误差的新控制方案。
Nonlinear neural network (NN) control strategy, which was certified the high capacity of approximation, is adopted to control this typical nonlinear system.
本研究采用神经网络控制来解决这类非线性系统的控制问题。
I also introduced wavelet neural network nonlinear combination forecast method in soft base settlement forecast to furthest advance the veracity of soft-base settlement forecast.
并将小波神经网络非线性组合预测方法引入软基沉降预测中，以最大限度地提高软基沉降预测的准确性。
The emergence of neural network provide effective tools for a system with highly nonlinear input-output relations.
神经网络的出现为一类输入输出关系呈高度非线性的系统提供了建模的有效工具。
This paper applies parallel tangents of nonlinear programming during the weights training of neural network and puts forward a neural network in view of fast learning algorithm.
因此，作者将非线性规划的平行切线算法用于神经网络的权值学习，提出了一种具有快速学习算法的神经网络。
Researching the applications of neural network techniques in the area of microwave circuits CAD and optimization design is one of the front edge issues in nonlinear microwave electronics domains.
神经网络在微波电路CAD和微波电路优化中的应用是目前非线性微波电路研究领域中的前沿课题之一。
Choosing a training method is very important when using neural network to obtain the model and the inverse model of the nonlinear object.
在使用神经网络完成非线性对象的模型和逆模型时，选择的训练方法很重要。
This paper presents one new method of nonlinear calibration for temperature measurement sensors of power plant, which is based on CMAC neural network and data collecting and monitoring system.
本文充分利用CMAC神经网络的非线性函数逼近功能，并结合电站数据采集和监测系统，提出一种校正电站测温传感器非线性输出特性的新方法。
The analytical scheme of nonlinear contact mechanics is corresponded to that of Neural Network by Considering nonlinear functions as nerve cell translation functions.
通过采用非线性函数作为神经元的传递函数，使神经网络的非线性问题同力学的非线性问题得到统一。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
It makes a comparison of the performance differences of the BP neural network and the RBF neural network in nonlinear filtering.
比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。
It makes a comparison of the performance differences between the BP neural network and the RBF neural network in nonlinear filtering.
比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。
Adaptive linear neural network is used for detecting the distortion currents of nonlinear loads.
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。
Based on the powerful nonlinear reflection and training function of artificial neural networks, the model of BP neural network for foundation piles integrity testing is put forward.
利用人工神经网络强大的非线性映射能力和学习训练功能，提出了基于BP网络的基桩完整性检测模型。
With the nonlinear mapping ability of neural network, this method can give relatively excellent prediction to target.
该方法利用了神经网络的非线性映射能力，能够较好地对目标进行预测。
To predict the seismic fire in an urban area, this paper tries to put forward a nonlinear means-Artificial Neural Network (ANN).
利用人工神经网络对地震火灾发生率进行非线性预测具有实用价值和理论意义。
Aiming at a class of nonlinear system, designs a kind of sliding mode neural network observer for fault detection and diagnosis.
针对一类非线性系统，设计了一种用于故障检测和诊断的滑模神经网络观测器。
Radial basis function (RBF) neural network is performed through linear combination of nonlinear basis function.
径向基函数(RBF)神经网络通过非线性基函数的线性组合执行。
Based on continuity analysis of oilfilm force databases of hydrodynamic bearings, neural network model of nonlinear oilfilm forces of elliptical bearings is developed.
基于滑动轴承油膜力数据库的连续性分析，建立了椭圆轴承非线性油膜力的神经网络计算模型。
A nonlinear direct adaptive controller based on online neural network and feedback linearization is designed by precondition of all state feedback.
在全状态反馈的前提下，设计了一种基于在线神经网络和反馈线性化的非线性直接自适应控制器。
Then RBF neural network used in nonlinear processing of speech signals based on chaos aspects is presented.
最后阐述应用rbf神经网络进行基于混沌的语音信号非线性处理。
A fault diagnosis method based on frequency-domain kernel analysis in nonlinear circuit and neural network is presented.
提出一种基于非线性电路频域核分析和神经网络的故障诊断方法。
This paper investigates the identification of unknown nonlinear dynamical system using multilayered feedforward neural network with a single hidden layer.
本文探讨了只用单个隐含层的前向神经网络对未知非线性动态系统的识别。
Furthermore, neural network model, which has better nonlinear mapping capability, is studied and founded.
同时，研究并建立了具有较强非线性映射能力的神经网络模型。
Network neural is fit for dealing with nonlinear problems especially for its good ability for nonlinear mapping.
神经网络具有良好的非线性映射能力，特别适合于处理各种非线性问题。
Based on neural network of capacitive pressure sensor nonlinear correction.
基于神经网络的电容式压力传感器非线性校正。
Based on neural network of capacitive pressure sensor nonlinear correction.
基于神经网络的电容式压力传感器非线性校正。
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