The artificial neuron model and backbone structure of neural network is introduced.
介绍了人工神经元模型与神经网络基本结构。
An introduction of the basic principles of the neuron model-free control and the basicdesign methods of the fuzzy controller is given.
介绍了神经元非模型控制的结构和基本原理及模糊控制器的设计的两种基本方法。
The novel method of the fuzzy neuron model-free coordination control is proposed for a unit power plant with uncertainties in this paper.
本文提出了具有不确定性火电单元机组的一种前馈模糊神经非模型协调控制方法。
Based on the HH neuron model, we investigate the effects of patch temperature on the spontaneous action potentials for finite size of membrane patch.
在前面介绍模型的基础上，本文考虑了温度对有限大小膜面积的神经元系统的影响。
This function is exactly what is needed for an artificial neuron model to work and the device is no doubt most suitable to construct neural networks.
这种器件的结构和功能非常类似于人工神经单元模型，所以非常适于在神经电路和神经网络系统中应用。
Based on designing analytical fuzzy controller, fuzzy-neuron model-free control algorithm is studied by using single neuron and the thought of intelligent integral.
设计了解析模糊控制器，并在此基础上引入了单神经元；根据智能积分的思想，研究了模糊神经元非模型控制算法。
The general form of CUSI neuron model and its learning algorithm are given, and apply it to geological data analysis and get the better effect than linear regression.
提出了CUSI神经元模型的一般形式，给出其学习算法。通过实例将CUSI神经元模型应用到地质数据的分析上，取得了比线性回归更好的效果。
However, the traditional M-P neuron model which used connective weights and a nonlinear activation function simulate the operation of neural's synapse and soma respectively.
然而，传统神经元的M - P模型用连接权值和非线性激活函数分别模仿神经元的突触和细胞体的作用。
Reviews the research progress of chaotic neuron model and chaotic neural networks in recent years, introduces the characteristics and application of the chaotic neural networks.
回顾了近年来几种主要混沌神经元模型及混沌神经网络的研究进展，介绍了其特点及主要的应用。
The calculation results indicate that the precision of method based on predictive neuron model is evidently higher than that of conventional Durbin algorithm and lattice algorithm.
计算结果表明，运用预测神经元方法所得到的线性预测系数，精度明显高于传统的杜宾算法和格型算法。
Now, let us have a look at the model of an artificial neuron.
现在，让我们来看看一个人工神经元的模型。
The efficiency of artificial neuron is promoted and a new model of artificial is created by studying the learning algorithm.
通过研究神经元学习算法，提高神经元的学习效率，并且提出一种新的神经元模型。
By analyzing the basic principle and mathematics model of an electro-hydraulic servo unit for ship rudder, this paper designs a single neuron adaptive PID controller.
在分析了船用舵机电液伺服单元的基本原理和数学模型的基础上，设计了单神经元自适应PID控制器。
The control strategy unites single neuron PI control algorithm and the predictive model based on neural network. The output of the controller is determined by PI algorithm.
采用单神经元PI控制算法与神经网络预测模型相结合的控制策略，用PI控制规律来确定控制器的输出。
An information fusion model of integrated navigation system based on neurons is proposed, and also an on line adaptive training algorithm of the weights of neuron is given.
提出了一种基于神经元状态融合的组合导航系统信息融合模型，给出了神经元融合权重在线自适应学习算法。
Aim: to establish a hypoxia model of cerebral neuron culture and supply a reliable method to the research of the prevention of hypoxia.
目的：建立皮层神经元缺氧损伤的模型，为抗缺氧研究提供可靠的实验方法。
A single neuron PI controller with predictive model is designed according to nonlinear systems of many industry processes and practical plants.
针对工业过程和实际控制对象的慢时变非线性的特点，设计了一种预测模型的单神经元PI控制器。
A neuron population model based on thalamocortical network was used to study the brain connectivity with certain mental tasks.
利用基于丘脑-皮层网络的神经元群模型，研究被试者在某种认知状态下脑功能区的连接状态。
A predictive model of flow rate for pumping stations based on the neuron network theory and an optimal operation model of pumping stations based on the hereditary algorithm were proposed.
利用改进的神经元网络构建了泵站流量以及效率预测模型，并利用改进的遗传算法构建了泵站优化模型。
A novel method which is based on the model of artificial neuron was proposed for quantitative analysis of mixtures.
本文提出一种基于人工神经元模型的新方法对混合物进行定量分析。
The fuzzy neuron non-model algorithm and the NPID control algorithm are adopted to design the control systems for oil temperature and pressure.
利用模糊神经元非模型算法和NPID控制算法设计了油温控制系统和油压控制系统。
Neuron network model is constructed to predict crystallization kinetics data, based on the crystallization kinetics data of the system with ciprofloxacin hydrochloride, H_2O and ethanol.
以盐酸环丙沙星、水和乙醇三元物系所得的结晶动力学数据为基础，建立了一个预测结晶动力学数据的神经网络模型。
Objective: to observe the protective effect of Panax notoginseng saponins (PNS) against pathological lesion of cholinergic neuron in rat model with Alzheimer's disease (AD).
目的：观察三七总皂苷(PNS)对老年性痴呆(AD)大鼠模型大脑胆碱能神经病理损害的保护作用。
Objective to explore the changes of neuron stimulation in the hippocampi CA3 region in the depression model rats after intraperitoneal injection of 5-htp.
目的：研究抑郁症模型大鼠在腹腔注射5羟色氨酸(5 - HTP)后引起的海马CA 3区神经原放电的变化。
ResultsNo recurrent spontaneous seizure, no neuron loss and no mossy fiber sprouting were found in PTZ kindling model;
结果戊四唑点燃模型无持续性癫痫自发发作，癫痫产生过程中无神经元丢失及苔藓出芽现象；
Objective: to observe the effect of nerve growth factor (NGF) on cell cycle in PC12 cells, and to establish a cell cycle model of neuron-like cell in vitro.
目的：观察神经生长因子(NGF)诱导PC 12细胞周期的变化，以建立体外神经元样细胞周期的研究模型。
The results imply that both the pain excitatory neuron and the pain in-habitory neuron may play a role in nociception or Dain modulation in the formalin pain model.
以上实验结果提供了在福尔马林痛模型中，海马在痛感受或痛反应过程中发挥一定作用的电生理证据。
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.
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。
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