当解耦器训练结束后，对于非线性对象采用单神经元自适应PID来进行控制，仿真结果表明，此控制方案效果较好。
After the success in decoupling, single neural cell self-adapting PID is adopted to control nonlinear object. The simulation results show that the control strategy gets better effects.
仿真结果表明，改进的方法对于加速神经元学习过程，提高控制器性能，具有较为显著的作用。
Simulation results show the improved method has a fine effect on speeding up neuron learning process and improving the control performance.
仿真与实验结果表明，单神经元控制器可以改善异步电动机矢量控制的性能，具有较强的自适应性与鲁棒性。
The emulation and experiment results show that the single neuron controller can improve the Field Oriented Vector Control property of induction motor and has stronger self-adaptability and robustness.
通过计算机仿真及其在实用电梯上的试验，结果表明基于单神经元自适应PID控制的方法，对提高电梯速度的跟踪性能有较好的作用。
The results of simulation and experiments show that the single neuron adaptive PID control method is very good in improving following performance to ideal speed curve.
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。
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.
针对单隐层感知器的硬件设计进行了计算机仿真，得到了满足设计要求的隐层神经元个数和量化比特数。
For multilayer perceptron with single hidden layer, the computer simulation is done to get the number of hidden neurons and quantization bit which satisfy the design requirement.
我们利用蒙特卡洛电脑仿真的方法，结合现实的三维几何构形，来研究亚细胞结构以及神经元和突触的生理学。
We are using Monte Carlo computer simulations that incorporate realistic 3-D geometries to explore the subcellular architecture and physiology of neurons and synapses.
讨论了影响乘客舒适感和平层精度的电梯速度曲线，提出了一种基于神经元的自适应控制方法，理论和仿真结果证明了其可靠性及可行性。
Elevator speed curve is discussed in this paper. An adaptive control strategy based on neural network is presented. A practical case was given to show the feasibility, practicality and reliability.
仿真结果表明，基于积分分离PID控制算法的神经元控制器与传统的神经元PID控制器相比，系统的控制性能得到了较大的改善。
The result of simulation shows that comparing this controller with conventional PID controller the control performance of the system has been enhanced greatly.
介绍了基于单神经元控制的直流调速系统的结构组成，单神经元控制器及其学习算法设计，单神经元直流调速系统参数设计和微机仿真试验。
This paper introduces the composition?controller and its algorithm?parameter design and simulation test based on direct current timing system of single nerve cell.
这套系统包括神经元动作仿真系统、神经元动作电位传导仿真系统、神经元自激振荡仿真系统。
This whole system includes the neurons action simulation system, neurons action potential conduction simulation system, and neurons self-excited oscillation simulation system.
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。
In this paper, SIMULINK simulation model of gain self-regulative neuron two-degree-of-freedom PID control is established, which is based on S-function. Also the simulation results are presented.
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。
In this paper, SIMULINK simulation model of gain self-regulative neuron two-degree-of-freedom PID control is established, which is based on S-function. Also the simulation results are presented.
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