1) neural group network
神经元群网络
1.
In this paper,we construct a neural group network controller for resolving the problems that exist in the Internet-based multi-robot system,such as:delayed instruction,low efficiency and poor collaboration ability,etc.
针对Internet多机器人系统中存在的操作指令延迟、工作效率低、协作能力差等问题,提出了多机器人神经元群网络控制模型。
2) neural network group
神经网络群
1.
In this paper,a neural network group is defined for BP NN based classification systems.
本文针对基于BP神经网络的分类系统 ,提出了神经网络群的概念 ,在此基础上给出了一种系统自适应增长算法 ,使得在新的目标类型加入时系统结构能够自适应调整 。
2.
With the help of the intelligent control theory and direct torque control theory, a kind of Neural Network Group (NNG) trained by multiorbit chaos optimization algorithm is put forward, and the method of identifying parameters through speed identifier is modified.
本文系统地介绍了直接转矩控制的现状及发展情况以及直接转矩控制的基本理论,并结合智能控制理论和直接转矩控制技术,提出了基于多轨道混沌算法优化的BP神经网络群,构造了转速辨识器,改进了直接转矩控制系统中的参数辨识方法。
3) neural networks
神经元网络
1.
Application of neural networks to heat transfer calculation in a round billet continuous casting mould;
神经元网络应用于圆坯连铸结晶器传热计算
2.
Stock Price Forecasting Based on Neural Networks;
基于神经元网络的股票市场预测
3.
Aimed at a typical object in petrochemical industry, an intrinsically non-linearthird order lag with dead-time and non-minimum phase, this paper reports that an identifier and a controller have been constructed based upon neural networks, of which the fundamentals, architecture, simulation results and the author's analysis and proposals are alsopresented.
针对石油化学工业中的某一典型对象即具有严重非线性和纯滞后特性的三阶非最小相位系统，介绍利用神经元网络（ＡＮＮ）构成的辨识器和控制器的原理、构成以及仿真结果，并给出了作者对神经元网络型辨识器与控制器的分析和建议。
4) neural network
神经元网络
1.
Application of neural network in calculation of steel quenching degree;
神经元网络在钢淬透性计算中的应用
2.
Multi-variable PID neural network control systems and their application to coordination control;
多变量PID型神经元网络控制系统及其在协调控制中的仿真研究
3.
Optimization system of utility boiler combustion based on neural network;
基于神经元网络的电厂锅炉燃烧优化系统
5) neuron network
神经元网络
1.
Application of PSO-based multivariable-PID neuron network in ball mill control;
基于PSO算法的多变量PID型神经元网络在球磨机控制上应用
2.
The Comprehensive Test of Some Type Missile and Neuron Network Based Simulation Diagnosing;
某型号导弹的综合测试和基于神经元网络的模拟诊断
3.
As to its multi-variable, strong coupling, nonlinear, time-varying characteristics, the control method of multi-variable PID neuron network for ball mill was introduced, its time-changing characteristic at different working conditions was described by multi-models, the PID neuron network was used as decoupling controller for each model.
针对球磨机制粉系统的多变量、强耦合、非线性、时变性等特点,提出了采用基于PID型神经元网络的多模型控制方法,在不同工况下系统的时变特性采用多个模型进行描述,而每个模型的控制器则采用PID型神经元网络进行解耦控制。
6) artificial neural network
神经元网络
1.
Take Pingdingshan mining area for example, variable rule of mining cost with time is determined by using Scurve, prediction models of coal mining cost, using method of artificial neural network and stabilizing linear regression, are built.
并以平顶山矿区为例，运用Ｓ曲线确定了开采成本随时间的变化规律，建立了标准开采成本的神经元网络和稳健回归预测模型，取得了良好的效果。
2.
In this paper, a novel methodology of integration filter made up of artificial neural network (ANN) and linear adaptive filter (LAF) was proposed to remove noise from spectral signal(SS).
本文提出了一种由神经元网络与线性自适应滤波器组成的集成滤波器的实现方法，用于谱图信号除噪处理。
3.
The intervals of main roof weighting at work faces were predicted by using artificial neural network.
利用人工神经元网络对工作面的顶板来压步距进行了预测。
补充资料：神经元形态中枢神经系统内轴突髓鞘的形成示意图
李瑞端绘
[图]
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条