The stator resistance identification unit is designed by using a neural network.
定子电阻辨识环节的设计采用了人工神经网络技术。
By contrast, in a neural network we don't tell the computer how to solve our problem.
相比之下，在神经网络中我们并不告诉计算机如何去解决我们的问题。
In this paper a neural network based blind multiuser detection algorithm is presented.
给出了一种神经网络盲多用户检测算法。
A neural network typically consists of a number of interconnected processors, or nodes.
类神经网络的特色是由一些互相连接的处理器或节点组成。
A neural network approach to power transformer fault diagnosis is proposed in this paper.
提出并研究了电力变压器故障诊断的人工神经网络方法。
Selection of a good activation function is an important part of the design of a neural network.
一个良好的激活函数的选择是对的神经网络设计的重要组成部分。
The whole protein sequence and a neural network were used to predict protein structural classes.
利用神经网络和蛋白质全序列对蛋白质结构类进行了预测。
Then a neural network was built to identify the new model based on simplified hysteresis operators.
采用简化迟滞算子对模型进行预处理后，构造神经网络实现模型的辨识。
A neural network is usually comprised by three layers of units (nodal points) or artificial neurons.
神经网络通常由三层单元(节点)或人工神经元组成。
A neural network PID control algorithm is presented to improve the PID adaptive control performance.
为提高PID控制的自适应性能，提出了一种神经网络PID自适应控制算法。
In crude oil evaluation database, physical properties are calculated by using a neural network method.
在原油评价数据库中，为提高物性计算的精度，采用神经网络方法计算原油中馏分油物性。
This paper presents a neural network decoder of linear block codes which originates from Hamming network.
本文提出了一种源于汉明类多层前向神经网络分组码译码器。
Of course it depends on the problem - but let's say that I want to use a common solution like a neural network.
当然，这取决于问题-但我想使用像一个神经网络的通用解决方案。
For example, let us consider a game in which a neural network controls the flight of our opponent's fighter plane.
例如，让我们考虑在这场游戏中的神经网络控制了对方的战机飞行。
The algorithm is tested by two generally used functions and is used in training a neural network for image recognition.
该算法经两个常用函数检验，并在图象识别的神经网络权值训练中得到应用。
Introduction was made to a neural network robust adaptive controller, which can be applied in model unknown control system.
介绍了神经网络自学习鲁棒自适应控制器，该控制器可以应用在模型未知的控制系统中。
By analyzing the freeway macroscopic dynamic traffic flow model, the paper presents a neural network model for traffic flow.
通过对高速公路宏观动态交通流模型的分析，提出了动态交通流的神经网络模型。
According to the running features of supercritical once-through boiler, the article proposes a neural network decoupling control method.
本文针对超临界直流锅炉运行特性，提出了一种神经网络解耦控制方法。
Instead of traditional methods, a neural network method for building the nonlinear constitutive law model of clay is proposed in this paper.
本文改变传统的数学建模方法，运用神经网络方法，建立一个粘土的非线性本构关系模型。
A new method for recognizing gas components in air based on nonlinear fluorescence spectra combined with a neural network model was proposed.
提出利用物质的荧光光谱联合人工神经网络识别大气中杂质气体成分的新方法。
This setting will create a neural network model that does not contain a hidden layer, and that therefore is equivalent to logistic regression.
这样设置便可以创建不包含隐藏层的神经网络模型，从而使该神经网络模型与逻辑回归等效。
This paper proposes a state feedback control strategy with a neural network compensator, which is applied in a hydraulic position servo system.
提出一种具有神经网络补偿的状态反馈控制方法并用于液压伺服位置控制系统。
This paper designs a diesel controller which contains a parameter_optimizing PID controller and a neural network controller based on model of diesel.
针对柴油机模型自身的特点，设计了一种神经网络与参数自寻优pid控制相结合的控制器。
The SOFM algorithm based on a neural network and an improved algorithm have a good effect on space compression of hyperspectral remote sensing images.
基于神经网络的SOFM算法及其改进算法取得较好的空间压缩效果，实现了对高光谱遥感图像的有效压缩。
This thesis investigates the problem of the realization of a neural network force controller for a service robot, which aims at a human-like service robot.
本论文以实现具有类人反应的服务机器人为目标，研究了服务机器人的神经网络力控制器的实现问题。
The paper studies the nonlinear programming problem with linear constraints. Based on its optimality conditions, a neural network for solving it is proposed.
研究了线性约束的非线性凸规划问题，基于最优性的充要条件，提出了求解它的一个神经网络。
The paper studies the nonlinear programming problem with linear constraints. Based on its optimality conditions, a neural network for solving it is proposed.
研究了线性约束的非线性凸规划问题，基于最优性的充要条件，提出了求解它的一个神经网络。
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