本文用双隐层BP人工神经网络建立了丝杆螺母副表面边界膜温度特性的磨损自补偿数学模型。
The BP neural network used in the temperature characteristic of the boundary film on the screw-nut pairs surface in the wear-self-compensation system was established.
在数字复合正交神经网络的基础上提出一种模拟复合正交神经网络，并用于直流双闭环调速系统中。
This paper covers an analog compound orthogonal neural network controller and its application to two closed-loop DC speed governing system.
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。
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.
讨论了一种基于双映射神经网络的机械臂运动控制器。
The application of a robotic manipulator based on mutual mapping neural network(MMNN) is discussed.
利用一种改进的模糊神经网络实现双吊点闸门的同步控制。
An improved fuzzy neural network can be developed to implement synchronous control for the double hanging point gate.
分析了双极性S型函数及LM算法与BP神经网络具体结合实现的方法，并给出了算法步骤。
The way double polarity s function and LM algorithm combine with BP neural network is analyzed in the paper. The steps of new algorithm were given.
用双隐层BP人工神经网络，建立了丝杆螺母副的磨损率与滑动速度关系的数学模型。
By the use of double hidden layered BP artificial neural network a mathematical model of relationship between wear rate of screw-nut pair and sliding speed is established.
计算结果证明了基于改进BP神经网络算法建立的双馈水轮发电机负荷优化调节特性模型的有效性。
The calculation results prove that the model for load optimal regulative characteristic of doubly fed hydrogenerator based on improved BP neural network algorithm is effective.
针对传统方法计算繁杂的问题，本文提出了基于双并联人工神经网络的汽轮机实际循环热效率计算方法。
To counter the difficulty of traditional method, the parallel connection feed-forward network of calculation method for the actual cycle thermal efficiency of a steam turbine is proposed.
将人工神经网络理论和算法应用于双辉离子渗碳的研究，在对人工神经网络训练的基础上，建立了双辉离子渗碳工艺与渗层性能预报的数学模型。
On the basis of the training of network, the mathematics model on the relationship between double glow plasma carbonizing and prediction of properties is built.
结果表明，与BP网络相比，双权值神经网络能对系统进行更好的控制。
The results showed that control performance of Double-Weighted neural network controller is well than BP neural network controller.
在提取了水下目标信号的双谱特征的基础上，利用BP神经网络对五类水下目标信号的双谱特征进行分类，得到了较高的识别率。
Classifying five target signals underwater base on the bispectrum features through BP neural networks, the targets are identified properly with high efficiently.
本文介绍了一种应用神经网络进行同杆并架双回线故障诊断的方法。
This paper presents a fault detective method of Double Circuit lines using neural network.
双级神经网络的前馈解耦控制提出了具有时变，非线性，不确定性和多变量耦合发酵过程中。
A double-level neural network for feedforward decoupling control is proposed for the fermentation process characterized with time-variable, nonlinear, uncertain and multivariable coupling.
针对双足机器人控制问题，提出了一种基于模糊神经网络的混杂控制方法。
The paper presents a fuzzy neural networks hybrid control of biped robot control problem.
在图象处理算法中，应用图象全局二值化方法、字符“有效行”特征的提取和双BP神经网络，对手写体字符的识别取得了良好的效果。
With the way of binarization by globe threshold, the extracting mathod of "effective-rows" feature of handwriting numerals and recognition mathod of two parallel BP networks, good result is acquired.
由于这类神经网络能存储双极向量对，并在模式识别、联想记忆、人工智能等方面有广泛应用，对这类模型的研究引起很多学者的关注。
The class of networks has wide applications in many fields such as pattern recognition, associative memory and artificial intelligence. Such model caused much attention of researchers.
并与国内外研究较多的无刷直流电机的基于自适应PID、模糊控制、神经网络控制、PID控制的双闭环控制系统进行仿真对比实验。
Simulation experiment compared with the double-loop motor subject to adaptive PID control, fuzzy control, neural-network control and conventional PID control is presented.
以传感器的双光路输出信号及实际冰厚值训练神经网络，建立了传感器的逆向模型。
An inverse model of the sensor is obtained based on neural network trained by the sensor's output and the actual sensed ice thickness.
讨论了基于神经网络对电弧炉电极进行智能控制的方法，运用神经网络的BP、RBF以及双隐层BP模型，分别对电弧炉电极的单相电流及三相电流进行了分析和仿真。
The method of intelligent control based on neural network is applied in electrode current of arc furnace. The electrode current is analyzed and simulated by the BP and RBF models of neural network.
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Huang, Deshuang. Theory of neuron network mode recognition system. Beijing: Publishing House of Electronics Industry, 1996.
提出了一种神经网络电流内环控制加混合模糊pi电压外环控制的双环控制结构。
This paper presents a new dual-loop control structure, with a neural network current as the inner-loop and a hybrid fuzzy-PI voltage as the outer-loop.
针对直接驱动的交流永磁直线伺服系统 ，提出一种将非线性神经网络控制和滑模控制相结合构成的双自由度控制策略 。
The method of combining the state feedback of the modern control theory and the traditional PID to set up a double degree-of-freedom control system is presented.
针对直接驱动的交流永磁直线伺服系统 ，提出一种将非线性神经网络控制和滑模控制相结合构成的双自由度控制策略 。
The method of combining the state feedback of the modern control theory and the traditional PID to set up a double degree-of-freedom control system is presented.
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