• In the active noise control system we apply neural network control method and derive neural network BP algorithm.

    在噪声主动控制系统中采用神经网络控制方法,给出了神经网络BP算法的一种变异算法。

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  • According to the research of the recurrent neural network control method application to aeroengines, the system based on recurrent network is built.

    根据反馈神经网络控制方法在发动机控制系统中的应用研究,建立了基于反馈网络的发动机控制系统。

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  • The variable speed control for freeway traffic is a nonlinear and time variable system, it is difficult to model with a mathematical model. A neural network control method is put forward.

    针对高速公路可变速度控制是一个非线性时变系统,难于用数学模型准确建模这一特点,提出了神经网络控制方法。

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  • Fuzzy Neural Network combined with conventional PD controller is used for the kinematics control and a fuzzy rule extraction method is put forward.

    采用模糊神经网络结合常规PD控制器的方法来进行机器人的运动控制,提出了提取模糊规则的方法。

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  • The paper is to organically combine the time series analysis method and neural network technology in the fuzzy control technology and fractal theory to predict mine gas emission quantity.

    将模糊控制技术、分形理论中的时间序列分析方法与神经网络技术有机地结合起来,并运用于矿井瓦斯涌出量的预测中。

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  • The wavelet neural network model to forecast and control equipment development expense is established on the basis of theory and method of wavelet together with its transform.

    通过小波及小波变换的原理和方法,建立了适用于武器装备研制费用的小波神经网络预测与控制模型。

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  • This paper proposes a method of using neural network model reference adaptive controller to control machining process.

    本文提出了用神经网络模型参考自适应控制器对加工过程进行控制的方法。

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  • An artificial neural network method for control of shunt active power filters is presented and analyzed.

    提出并分析了一种适用于控制并联有源电力滤波器的人工神经网络方法。

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  • 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。

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  • Finally, through simulating many ventilation conditions, a new tunnel ventilation control method based on neural network model is developed, which can be used in the field tunnel ventilation project.

    最后对在多种工况模拟的基础上,提出了一套能在现场应用的基于神经网络模型的隧道通风控制方法,并应用于实际的隧道通风工程中。

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  • 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.

    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。

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  • An intelligent method is proposed which ADAPTS a synthetical technology of fuzzy logic and neural network to identifying trend pattern in control chart.

    提出了一种综合模糊技术与神经网络技术对基于控制图的趋势模式进行自动分类识别的智能方法。

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  • This paper use fuzzy neural network and hierarchy control method to solve the problem of traffic control for the trunk roads.

    在城市交通干线协调控制方面,本文提出了利用模糊神经网络分层递阶控制的方法。

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  • A decentralized neural network based position control method is presented for multi-fingered dexterous hand with nonlinear tendon-drive system.

    针对多指灵巧手钢缆传动系统的非线性,提出一种基于分散神经网络的位置控制方法。

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  • Based on the principle of the direct torque control, the novel identification method of induction motor speed using neural network in a speed-less sensor AC drive system was presented.

    根据异步电动机直接转矩控制原理,提出了采用人工神经元网络速度辨识方法去实现无速度传感器的交流调速控制系统。

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  • The method for the turbine fast valving control strategies with the single forward neural network is presented.

    提出一种应用单隐层前向神经网络决定电力系统暂态稳定快速汽门控制规律的方法。

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  • Based on the self-learning property of neural network, an adaptive control method for speed ring of a gyroscope-stabilized platform is put forward in the paper.

    提出一种利用神经网络的自学习特性,对陀螺稳定平台的速度环进行自适应控制的方法。

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  • The method of taking continuous qualified product counts as the control objects and the kernel technology of neural network for realizing this method are introduced.

    介绍了以连续合格品数为控制对象的方法以及实现该方法的神经网络核心技术。

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  • In this paper, a new control method based on predictive control and neural network of intelligent control is proposed.

    本文提出了一种基于广义预测控制和智能神经网络的新型控制方法。

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  • Aiming at the problem of how to control an open-frame underwater vehicle precisely, a new method of control based on variable structure neural network was proposed.

    针对开架式水下机器人运动的精确控制问题,提出一种水下机器人变结构神经网络控制方法。

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  • Through research on the control method based on neural network, this paper attempts introducing the technology of neural network intellectualized control into waste water treatment.

    本文通过对生化反应过程溶解氧神经网络控制方法的研究,探索和尝试了将神经网络智能控制技术引入水处理领域。

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  • Based on the sensitivity of neural network of system identification, a method of descending neural network sensitivity in control systems is proposed in this paper.

    基于系统辨识的神经网络灵敏度,提出了降低用于控制系统中神经网络灵敏度的一种方法。

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  • Last we apply the neural network PID control method to temperature control system for a water bath, experimental results show that the present method provides an excellent control results.

    最后,将神经网络PID控制器取代基本PID控制器用在浴室水箱温度控制中,仿真结果表明这种控制方法有很好的控制效果。

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  • A variable structure control method based on T-S fuzzy neural network (FNN) is brought forward.

    提出基于T - S模糊神经网络的变结构控制方法。

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  • The control for speed limitation on freeway is a nonlinear and time variable system, it is difficult to model with a mathematical model. A control method based on RBF Neural Network is put forward.

    针对高速公路限速控制是一个非线性时变系统、难以用数学模型准确建模这一特点,提出了R BF神经网络控制方法。

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  • The control for speed limitation on freeway is a nonlinear and time variable system, it is difficult to model with a mathematical model. A control method based on RBF Neural Network is put forward.

    针对高速公路限速控制是一个非线性时变系统、难以用数学模型准确建模这一特点,提出了R BF神经网络控制方法。

    youdao

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