It is composed of three elements: PCA, time-delay neural network and model updating, where the offline model is trained through the algorithm GABP.
该方法由三部分组成：主元分析pca、时间延迟神经网络、软测量模型的在线校正。
The Adaptive Time-delay Neural Network (ATNN) based on exo-atmospheric space point target IR radiation sequences is proposed in order to improve the recognition rate.
为提高目标的正确识别率，提出一种基于空间点目标红外辐射序列的自适应时延神经网络(atnn)识别方法。
In order to identify the characteristic of the exo-atmospheric space target's RCS, the time-delay neural network (TDNN) with particle swarm optimization (PSO) training method is proposed.
针对空间目标的RCS特征识别的问题，提出了基于粒子群算法(PSO)训练的时延神经网络(TDNN)识别方法。
This paper presents an artificial neural network(ANN) approach to determine the time delay for a heating, ventilating, and air -conditioning(HVAC)plant to respond to control actions.
本文提出一种人工神经网络（ANN）方法，确定暖通空调（HVAC）系统对控制信号响应的时间迟延，在研究中选用了四层网络。
Based on nonlinear prediction ideas of reconstructing phase space, this paper presents a time delay BP neural network model, whose generalization is improved utilizing Bayes' regularization.
基于相空间重构的非线性预报思想，建立一个时滞的BP神经网络模型，采用贝叶斯正则化方法提高BP网络的泛化能力。
A new multi-branch time delay neural network is adopted to conduct prediction research on chaotic time series.
采用新型多重分支时间延迟神经网络进行混沌时间序列预测研究。
Design for robust controller of uncertain neural network with time-varying delay was analyzed.
对不确定变时滞神经网络系统的鲁棒控制器的设计进行了分析。
Based on identifying the time-delay system of HVAC, the paper researches the linear and nonlinear systems identification methods with MATLAB system identification toolbox and neural network theory.
运用MATLAB辨识工具箱和神经网络理论，通过对暖通空调系统中常见的时滞对象的辨识，研究了基于神经网络的线性和非线性的辨识方法。
The problem of exponential stability and robust stability for a class of discrete-time neural network with time-varying delay is investigated.
研究了一类时滞离散神经网络指数稳定及鲁棒稳定问题。
Simulation results show that the design of the fuzzy neural network controller can reduce the average delay of vehicles effectively, and meet the demand for real-time control.
仿真结果表明，本文设计的模糊神经网络控制器能够有效降低车辆平均延误，满足实时控制的要求。
Simulation results show that the design of the fuzzy neural network controller can reduce the average delay of vehicles effectively, and meet the demand for real-time control.
仿真结果表明，本文设计的模糊神经网络控制器能够有效降低车辆平均延误，满足实时控制的要求。
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