neural arc
英 [ˈnjʊərəl ɑːk]
美 [ˈnʊrəl ɑːrk]
神经反射弧
双语例句
- Application of LVQ Neural Network in Classification of Surface Defects for Arc Segments Ceramic Magnet
LVQ神经网络在磁瓦表面缺陷分类中的运用 - Neural Network Based Faulty Line Detection Method for Power System with Neutral Grounding via Arc Suppression Coil
基于神经网络的中性点经消弧线圈接地系统故障选线方法 - BP Neural Network Predicting Model for Aluminium Alloy Keyhole Plasma Arc Welding in Vertical Position
铝合金穿孔型等离子弧立焊的BP神经网络预测模型 - GA Neural Network Based on Modelling for DC Arc Furnace Steelmaking Process
遗传机理神经网络在电弧炉炼钢模型辨识中应用 - BP neural network is improved and applied to the identification of the water-cooling furnace walls curves of the Direct Current Electrical Arc Furnace ( DC EAF).
阐述将改进的BP神经网络用于直流电弧炉水冷炉壁问题曲线的辨识。 - Control System for Neural Network Electric Arc Furnace-Refining Furnace
神经网络电弧炉-精炼炉的控制系统 - Rat hypothalamic arcuate nucleus ( ARC) area was isolated with Halasz knife to interrupt the neural pathways of ARC with other brain areas, while its neuroendocrine connection with the pituitary remained intact.
以Halasz刀游离大鼠下丘脑弓状核（ARC）区，切断ARC与其它脑区的神经通路而保持其与垂体的神经内分泌联系。 - 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.
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。 - A Structure-Adaptive BP Neural Networks Based Model of Electric Arc Furnace
基于结构自适应BP网络的电弧炉电流预测模型 - Simultaneous reinnervation of MPG and EUS by one group of somatic motor neurons may be the major neural anatomy infrastructure for controllable voiding via the somatic-autonomic reflex arc.
躯体运动神经元同时支配MPG和EUS可能是人工体神经内脏神经反射弧控制排尿的主要神经解剖学基础。 - Application of Genetic Neural Control Strategies in High-impedance Electric Arc Furnace
综合智能控制策略在电弧炉控制中的应用 - A cognitive model is presented with classical conditioning behaviors. The model comprises a number of spiking neurons connecting to form a neural network with reflex arc structure, which made it fully exhibiting the dependency of classical conditioning on timing.
一种具有经典条件反射行为的认知模型（CMSPK），该模型以尖锋神经元为基本元素，互联形成具有反射弧结构的神经网络，能充分表现经典条件反射对时间的依赖性。 - Principal component analysis based artificial neural networks for arc welding quality control
主成分分析结合神经网络技术在焊接质量控制中的应用 - The application of neural network technique in the seam tracking process of arc-welding robot is studied. A neural network controller to modify the reference Cartesian trajectory for the robotic seam tracking is presented through the compensation of the neural network for the Cartesian trajectory.
研究神经网络技术在弧焊机器人焊缝跟踪过程中的应用，通过神经网络在笛卡尔空间轨迹的补偿作用，确定出基于笛卡尔空间参考轨迹控制的机器人焊缝跟踪神经网络控制器。 - We present three countermeasures of using a composite structure of the mutiple neural network, improving BP learning algorithm and perfecting training tactics. By these countermeasures, the limitations of BP learning algorithm are overcome and good results in the recognition of hand-written digits arc obtained.
研究采用多神经网络组合结构、改进BP学习算法和训练策略等3个对策来克服BP学习算法的局限性.手写数字识别的实验研究表明，这些对策效果显著。 - Based on the intelligent control theory, the electrode controlling model of the neural network on alternating electric arc furnace is built by back propagation calculation.
将神经网络智能控制理论应用于电弧炉电极控制系统，建立了电弧炉电极控制模型。 - A neural network identification method of the water-cooling furnace walls curves of Direct Current Electrical Arc Furnace
直流电弧炉水冷炉壁温度曲线的神经网络辨识方法 - To study the neural morphological basis of the "abdominal reflex spinal cord center bladder" artificial bladder reflex arc established by abdominal reflex.
研究利用腹壁反射建立腹壁反射脊髓中枢膀胱人工膀胱反射弧的神经形态学基础。 - Using BP neural network to nonlinear object approximation ability identified the model and inverse model of the arc link, and designed the adaptive inverse controller and generalized predictive controller.
利用BP神经网络对非线性对象的逼近能力辨识得到了电弧环节的正模型和逆模型。 - The neural network training and testing are carried out for the data, the obtained results show that the wavelet neural network has a higher identifying rate, and the wavelet neural network can provide a new idea for the arc fault detection.
对数据进行神经网络的训练和测试，结果表明小波神经网络数据识别率较高，小波神经网络为故障电弧的检测方法提供新的研究思路。 - Finally, a neural network method is proposed for identifying the arc fault, which is based on the results from integrated index analysis, Fourier transform and wavelet transform. The related flow chart is also given.
最后，提出了一种基于综合运用数据指标分析结果，傅里叶分析结果和小波变化分析结果的故障电弧神经网络辨识方法，给出了辨识流程图。 - Raises a method of window-based vector quantization for primitive division and a method based on RBF neural network for primitive classification directed to gain arc primitives from natural images and analysed the affect of 3 main parameters of it.
针对自然图象中圆弧基元的获取提出了窗口矢量化的分割方法和基于RBF神经网络的分类方法。详细分析了三个主要参数的作用。