neural control造句
例句与造句
- The neural control of visually guided eye movements . pp . 3 - 46
视觉引导的眼球运动的神经控制。第3 - 46页。 - Research on syncretic algorithm of genetic algorithm and neural control
遗传算法与神经控制的融合算法研究 - Direct adaptive fuzzy - neural control of unknown chaotic system
不确定混沌系统的直接自适应模糊神经网络控制 - The major research interest has been focused on the neurobilogy , especially the neural control of breathing and the respiration - related activities
近二十年来，在科研方面一直从事神经生物学特别是呼吸神经生物学研究工作。 - The major research interest has been focused on the neurobilogy , especially the neural control of breathing and the respiration - related activities
近二十年来，在科研方面一直从事神经生物学特别是呼吸神经生物学研究工作。 - It's difficult to find neural control in a sentence. 用neural control造句挺难的
- The fuzzy control , neural control and fuzzy neural control for this vehicle were provided . the computer simulation result showed the merit of the fuzzy neural control
考虑到水下机器人是一个强非线性、耦合的系统，设计了模糊控制、人工神经网络控制和模糊神经网络控制这三种控制方法。 - Flexion - extension radiographs taken at the end - range of movement will capture only the function of the passive stabilizing subsystem and fail to address the active and neural control subsystems
腰椎屈伸侧位片拍摄的是腰椎活动的最后阶段，只反应了脊柱被动系统的功能，而没有反应主动系统和神经控制系统的功能。 - According to the research on the artificial neural networks （ ann ） and neural control technology , this paper then discusses how to use ann theory in mps4000 substation integrated automation system
针对这一点，通过对人工神经网络与神经控制理论与作了一定的研究分析，提出了在mps4000变电站综合自动化系统中应用人工神经网络理论建立的模型。 - Meanwhile , the model predictive neural control is investigated , in which the neural network controller is optimized using a calculus of variations approach to minimize the mpc cost function and is differs from work above
研究神经网络作为优化器优化模型预测控制性能指标的模型预测神经网络控制。 4 )研究基于微分几何方法的反馈线性化技术在非线性模型预测控制中的应用。 - On the other hand , by combining fuzzy logic , evolutionary computation and stochastic optimal methods , structure and learning algorithms of neural networks are studied for neural control , which is one of the important branches of intelligent control
而通过对神经网络的结构和学习算法的研究，结合模糊逻辑、进化计算和随机优化等方法，探讨了智能控制中的重要的分支? ?神经网络控制的有关理论与技术。 - In the last chapter , i presented the ways to design a neural control network and its arithmetic and gained a better control result than classical control method . liu ru _ tie ( thermal power engineering for power plants ) directed by prof . ma ping and senior engineer li jian _ min
在本文的最后一章里，介绍了神经网络控制器的设计方法和算法，经仿真发现，神经网络控制器比常规pid控制取得了更好的控制效果。 - So we should take more effective control technologies , such as using the digital signal processing chip , adopting voltage sinusoid pulse width modulation , voltage space vector pulse width modulation , adaptive control , neural control , fuzzy control
因此，必须采用更有效的控制技术，诸如使用数字信号处理器( dsp )芯片、实现电压正弦pwm控制( spwm ) 、电压空间矢量pwm ( svpwm )控制以及自适应控制、神经元控制、模糊控制这些现代的控制策略。 - Because of the periodicity of the hub oscillatory load and the nonlinearity of the i / o relationship of the smart rotor , the neural control methods with both off - line and on - line modeling in frequency domain on the smart rotor and their realization procedures are presented
飞行中直升机的桨毂交变载荷以周期性的为主，而智能旋翼的输入输出关系具有非线性特征。据此，本文提出离线建模的和在线建模的智能旋翼频域神经控制方法，并给出实现的具体方案细节。 - Based on the multiple - targets control strategy , utilizing the properties of self - adapting and simpleness of nerve cell , multiple - targets neural control strategy is brought forward , which facilitates the on - line regulation of controller ' s parameter . the simulation indicates this control strategy has remarkable self - adaptability and robustness character . a strategy of on - line optimization based on genetic algorithms ( ga ) , which utilizes
针对多目标神经网络控制器参数的选取，利用遗传算法（ ga ）的全局收敛性，提出了基于遗传算法的多目标神经网络控制器参数的在线优化，避免了采用bp算法时的局部收敛等问题。 - A new control strategy is presented by combining fuzzy - neural control with feedback control under considering the uncertainties of robotic system firstly based on robot force / position hybrid control . fuzzy - neural network is used to learning the boundary of envelope function of uncertainties , and the feedback controller is used to enhance the complete performance of fuzzy - neural control strategy
在机器人力/位置混合控制的基础上，首先设计了一种模糊神经网络控制器与反馈控制器相结合的控制方案，采用模糊神经网络在线学习所有不确定性的包络函数的上界，引入反馈控制器，以增强模糊神经网络控制策略的完备性。
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