neural axis 中文意思是什麼
neural axis
解釋
軸索神經軸-
In two axis system, a circle interpolator is designed, and a new method based on ga - neural networks is proposed to adjust pid parameters online to reduce the tracking error. then, an integrated controller based on rbf neural network ( rbfnn ) is designed to reduce the contouring error of the two axis. experimental results show that the proposed integrated controller significantly improved accuracy in both tracking and contouring
對于雙軸系統設計了一個軌跡為圓的插補器，採用基於遺傳演算法?神經網路的在線pid參數調整演算法，減小了系統的跟蹤誤差，並分析雙軸之間的輪廓誤差，設計出基於rbf神經網路的綜合控制器，經過模擬實驗證明，本文採用的綜合控制器能有效地減小系統的跟蹤誤差和輪廓誤差，提高系統的控制精度。 -
Fault diagnosis of a bend axis piston pump by wavelet packet and neural networks
神經網路在斜軸泵故障診斷中的應用研究 -
Second, based on the theory of error separation, the mathematical model, which is used to extract the surface flaw of axis - like parts, is given briefly. third, the designs of hardware and software in the system are explained respectively. fourth, the models and algorithms for appraising the surface flaw of axis - like parts are established by the methods of pattern recognition and neural net
第一，本文論述了該課題研究的必要性及應用開發的價值：第二，簡要介紹了基於誤差分離理論建立起來的提取軸（孔）類工件表面缺陷的數學模型；第三，對該系統的硬體和軟體設計分別進行說明；第四，運用模式識別和神經網路等方法建立軸承工件表面缺陷評判模型和演算法，並給出了各種評判方法的比較。 -
Based on matlab system, a multi - layer back propagation neural network model was developed, in which the effects of the depth from surface to the tunnel axis, tunnel diameter, groundwater level, as well as the elastic modulus, shear strength, side pressure coefficient and unit weight of soil and the space between excavated wall and lining on the ground subsidence were considered
採用matlab系統開發了一個多層反向傳播神經網路模型，考慮了隧道的深度、隧道的直徑、地下水位、土的彈性模量、土的剪切強度、土的側壓系數、土的重度和開挖間隙對地表沉降的影響。 -
As neural network has the ability of self - learning, that utilizes prior output data of uncertain system to estimate iteratively the static state property of system in order to achieve ideal approaching precision for identification of the positive model, a robust iterative learning control scheme on the basis of better positive model is designed. the neural network is used to identify the positive model of nonlinear system on iterative axis, which can give feed - forward action of iterative learning controller to reduce the effects of nonlinear properties and model uncertainties. meanwhile, feedback action of iterative learning controller make joint movement follow the desired trajectory on time axis by using controlled parameters derived by the neural network
由於神經網路具有自學習能力，它可利用不確定性系統的歷史輸出數據對系統的穩態特性進行估計，使得對系統正向模型的辨識達到理想的逼近精度，然後在此正向模型的基礎上進行學習控制律的設計：即採用神經網路辨識非線性系統的正向模型，並消除系統不確定性和外部干擾的影響，使關節運動沿迭代軸方向逼近期望軌跡；迭代學習控制器在線學習控制參量，使關節運動沿時間軸方向跟蹤期望軌跡。
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