neuron simulation
英 [ˈnjʊərɒn ˌsɪmjuˈleɪʃn]
美 [ˈnʊrɑːn ˌsɪmjuˈleɪʃn]
网络 神经元仿真
双语例句
- The aim of this study is to investigate how firing patterns of hippocampus neuron change with coupling effect between soma and dendrite via simulation of single neuron firings by soma-dendrite model.
应用神经元胞体-树突放电模型，在胞体与树突不同耦合作用的情况下，研究神经元放电模式的变化。 - The PID learning controller is composed by using single neuron and the simulation studies are conducted for the hydroturbine governing systems in this paper. The simulation results proof the strong robustness of the control algorithm.
采用单个神经元构成PID学习控制器，应用于水轮机调节系统，仿真结果表明控制算法具有强的鲁棒性。 - CPG model for machine crab's octopod gait control is made by adopting the neuron oscillator, and some gaits are generated using this model by simulation.
以该振荡神经元模型为基础建立了两栖仿生机器蟹的八足控制的CPG模型，并利用该模型通过仿真实现了八足步态的生成。 - This paper presents the neuron differential forward PID controller that is derived from differential forward PID algorithm. Simulation research has been made by using the MATLAB/ SIMULINK software of this control method applied to an electric oven.
文中给出从微分先行PID算法派生出的神经元PID控制器，并利用MATLAB/SIMULINK仿真软件对该控制器在电加热炉中的应用进行仿真研究。 - 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 Neuron Net Controller and Its Simulation
一种神经元网络控制器及仿真 - 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。 - A kind of control scheme combining neuron control with static decoupling control for ball miller control in power plant is advanced and the simulation results are provided.
给出了一种由神经元和静态解耦网络相结合的针对火电厂球磨机现场总线控制的方案。 - This paper introduces the multi-layer artificial neuron network and the modified reverse propagation algorithm, which is applicable to identify linear or nonlinear system and can solve the problem of system forecasting; and meantime it is proved to be feasible with a simulation example.
介绍了多层人工神经网络及其改进型反向传播算法。该算法能用于线性、非线性系统的辨识，解决了系统预报的问题，通过仿真实例证明该算法是可行的。 - Also the SIMULINK simulation model of neuron PID applied in electric oven and simulation results based on which are given.
该文通过编写S函数的方法建立增益自调整的神经元二自由度PID控制的SIMULINK仿真模型，并给出仿真结果。 - 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 PID Controller Based on PSD Algorithm and Its Simulation
基于PSD算法的神经元PID控制器及其仿真研究 - 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。 - 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。 - 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。 - In this paper, we set up a simulation model using 20-SIM simulation tools, and design an on-line self-learning reformed single neuron PID controller. simulation results has proved the controller succeeds in maintaining the performance of the system at acceptable levels.
经研制采用20-SIM仿真工具建立仿真模型，设计了一种改良的单神经元PID控制器，其控制的仿真结果表明，该控制器适合于此系统。 - Under MATLAB environment, the subsystem package of single neuron PID controller is accomplished by using S function, and the simulation model of tension control system is established.
在MATLAB环境下，应用S函数实现单神经元PID控制器子系统的封装，建立了张力控制系统仿真模型。 - 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。 - 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。