neuron simulation
英 [ˈnjʊərɒn ˌsɪmjuˈleɪʃn]
美 [ˈnʊrɑːn ˌsɪmjuˈleɪʃn]
网络 神经元仿真
双语例句
- On the basis of this, the system configuration used to real-time detect the different current components by neuron adaptive detection approach of harmonic and reactive current is analyzed, and corresponding system simulation model is built and the performance of the system is investigated.
在此基础上，分析了用神经元自适应谐波和无功电流检测方法实时检测这些不同电流分量时的系统构成，建立了相应的系统仿真模型，研究了该系统实时检测不同电流分量时的性能。 - A multiuser detector based on quantum neuron and quantum register is proposed. Computer simulation results show that the method has powerful properties both in bit error rate and near-far resistance.
提出了一种基于量子神经元与量子寄存器的多用户检测方案，计算机仿真结果表明：本文所提出的检测器在误码率和抗远近效应方面均具有良好的性能。 - Application of the improved single neuron PID controller in simulation loading of automatic bit feed
改进单神经元PID控制器在自动送钻模拟加载中的应用 - Reference current algorithm is a key factor of APF. A neuron adaptive approach for harmonic current calculation is proposed in the paper, according to the adaptive noise canceling technology ( ANCT), whose robustness, precision and dynamic response is verified by simulation results.
在传统方法的基础上，结合自适应噪声消除技术，本文提出一种神经元自适应谐波电路检测算法，仿真结果证明该方法鲁棒性强，检测精度高，动态响应好。 - A Neuron Net Controller and Its Simulation
一种神经元网络控制器及仿真 - Through analyzing the single neuron PID control theory and parameters adjustment, the relevant control simulation was done.
简要的介绍了单神经元PID控制算法的基本原理及参数调整，并作出相关控制仿真。 - By using proposed synthetic optimum design method of fuzzy controller, a fuzzy power system stabilizer ( PSS) based on fuzzy neuron network is designed for a single machine to infinite bus power system. Digital simulation results show that the proposed method is very effective and practical.
针对单机&无穷大电力系统，利用所提出的模糊控制器综合优化设计方法设计了基于模糊神经网络的模糊电力系统稳定器（FNN－PSS），并由数字仿真证明了所提出方法的有效性和实用性。 - Meanwhile, the control effects were compared between single neuron adaptive control algorithm and conventional PID algorithm by simulation.
根据单神经元自适应控制算法设计自适应控制器，并将单神经元自适应控制算法与常规PID算法的控制效果做仿真比较。 - Neuron is used to realize OLC, on the basis of which a weighted factor self-learning algorithm is presented. The effectiveness of the algorithm has been proven with the usage of digital simulation.
本文应用神经元来实现普通多值逻辑控制器，在此基础上提出了加权因子的自学习算法，并用数字仿真证明了算法的有效性。 - A neuron self-learning PSD controller used for pulsed GTAW is developed and results of simulation show that regulating time of the controller is very short, and override is low, and error of steady state is very small.
设计了一种用于脉冲GTAW焊过程控制的单神经元自学习PSD控制器。仿真结果表明，单神经元自学习PSD控制器调节时间快、超调量低、稳态误差小。