The total torque requirement is calculated by a nonlinear auto-regression with exogenous input (NARX) dynamic neural network model.
基于非线性自回归（NARX）动态神经网络模型结构建立了总体转矩需求计算模型。
The fuzzy neural network model for dynamic equation of the PMT is established.
本文建立了求解并联机构动力学方程的模糊神经网络模型。
Considering the dynamic character of rock burst, a time serial model of rock burst is constructed by evolutionary neural network based on immunized evolutionary program.
考虑到冲击地压时序的特点，采用基于免疫进化规划的进化神经网络进行了冲击地压非线性系统的建模研究。
A plan of model reference adaptive tracking control for nonlinear systems is introduced based on neural network dynamic inversion (NNDI).
基于神经网络动态逆方法，给出了一种非线性模型参考自适应跟踪控制方案。
This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.
提出了一种新的动态模糊自组织神经网络模型(TGFCM)，并将其用于文本聚类中。
In this method, the dynamic model parameters of accelerometer are optimized by genetic neural network according to measurement data of the dynamic calibration.
该方法利用加速度传感器的动态标定数据，采用遗传神经网络搜索和优化动态模型参数。
By analyzing the freeway macroscopic dynamic traffic flow model, the paper presents a neural network model for traffic flow.
通过对高速公路宏观动态交通流模型的分析，提出了动态交通流的神经网络模型。
On the basis of macroscopic dynamic traffic flow model which is frequently used in traffic control, Radial basis Function (RBF) neural network is designed.
根据常用的高速公路交通流宏观动态模型，建立了高速公路交通流的RBF神经网络模型。
This thesis has studied the dynamic features of a class of the discrete-time neural network model of two neurons, such as the convergence and periodicity and etc.
本文研究了一类二元离散人工神经网络模型的解的收敛性及周期解的存在性等动力学特征。
A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network.
结合贝叶斯网络和神经网络，提出了一种建立数据驱动型的动态线性回归系统模型的方法。
A novel neural network model, named delayed standard neural network model (DSNNM), is proposed, which is the interconnection of a linear dynamic system and a bounded static delayed nonlinear operator.
提出一种新的神经网络模型—时滞标准神经网络模型(DSNNM)，它由线性动力学系统和有界静态时滞非线性算子连接而成。
The hybrid neural network dynamic hysteresis model, which consists of two dynamic neural networks in a cascade form, is proposed to approximate the hysteresis characteristics of piezoceramic actuator.
提出了两个动态神经网络串联的混合神经网络动态迟滞模型，用以逼近压电陶瓷的迟滞特性。
Joint dynamic stiffness and damping were identified via solving the former identification model by use of least square method (LSM) or neural network method.
分别采用最小二乘法和神经网络方法对上述方程进行求解，推导出了关节动态刚度和阻尼的辨识模型。
The identification algorithm integrating the forward evolutionary algorithm and improved BP algorithm for the dynamic recursive neural network model is formed.
与改进BP算法相结合，各取所长，形成集成化动态递归神经网络建模辨识算法。
The results show that the method of BP neural network used to identify moving force based on the dynamic model can effectively identify the moving force on the simple beams and continuous beams.
研究结果表明，基于动力模型的BP神经网络移动荷载识别方法，能够有效识别简支梁桥与连续梁桥上的移动车载；
Based on BP and RBF neural network model, the dynamic error of experiment was modeled and forecasted.
基于BP、R BF神经网络模型对实验系统的动态误差进行建模和预测。
In the last part of the article, the author set up a BP artificial neural network model, which can effectively predicts the dynamic cost of power plants.
最后建立了一个BP神经网络模型，对火电企业的动态成本进行有效的预测分析。
This paper proposes a method to build up a model of a Marine main engine based on BP neural network. A new method of selecting leaning rate is also stated using dynamic optimal algorithm.
该文研究用BP神经网络建立船舶主柴油机模型的方法，并对BP算法进行了改进，提出了一种动态优化学习率的方法。
The dynamic model of a simulator of the boiler-turbine system of a 375 MW(megawatt) thermal power plant is built by a feedforward neural network that is trained offline.
针对一个375MW热电厂的锅炉—汽轮机系统仿真模型，采用多层前向神经网络进行离线建模；
Moreover, T-S model is used to adjust the dynamic fuzzy rules by the latter neural network, which can improve the adaptability of the control system.
采用T - S模型，由后件网络动态调整模糊规则，提高控制系统的适应性。
According to the relationship between precipitation and discharge of groundwater, a model of linear artificial neural network is set and used for dynamic prediction of discharge of groundwater.
根据降水量与地下水流量之间的相关关系，建立线性神经网络模型，并且将其用于地下水流量的动态预测。
Based on the time series, a model of linear artificial neural network is set and used for dynamic prediction of discharge of groundwater.
根据其时间序列，建立线性神经网络模型，并将其用于地下水流量的动态预测。
With the dynamic model of flexible manipulator, PD control, fuzzy PD control and neural-network control are studied.
系统控制方面，针对柔性臂的动力学模型，分别进行了PD控制、模糊pd控制和神经网络控制方案的研究。
Diagonal recurrent neural network (DRNN) is a modified model of the fully connected recurrent neural network with the advantage in capturing the dynamic behavior of a system.
对角循环神经网络是一类经过修正的全连接循环神经网络，在系统动态行为的俘获方面具有明显的优势。
An ART2-based dynamic risk management model is proposed by using of clustering technique and neural network knowledge.
结合聚类技术和ART2神经网络技术提出一个基于ART2神经网络的动态风险管理模型。
A neural network model with dynamical compensating capability is analyzed. During the training of this network model, we apply the principle of dynamic error back-propagation.
本文分析了一种动态补偿神经网络模型，模型的训练利用反向传播原理实现。
This paper establishes dynamic forward feedback correction model with the method of combining Bayes regularization and BP neural network.
文中采用贝叶斯正则化与BP网络结合的方法，建立动态前馈校正模型。
BP artificial neural network was used to establish the calibration model of subjects' total cholesterol, glucose and hemoglobin values against dynamic spectrum data.
利用BP神经网络对此样本的总胆固醇、血糖、血红蛋白进行了建模和预测。
The system identifier based on RBF neural network which applies nearest neighbor clustering algorithm realizes the identification of the inverse dynamic system model.
辨识器采用RBF神经网络结构和最近邻聚类算法，实现了对系统逆动力学模型的动态辨识。
The system identifier based on RBF neural network which applies nearest neighbor clustering algorithm realizes the identification of the inverse dynamic system model.
辨识器采用RBF神经网络结构和最近邻聚类算法，实现了对系统逆动力学模型的动态辨识。
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