A class of process neural network model with two hidden-layer based on expansion of basis function is brought forward.
提出一类基于基函数展开的双隐层过程神经元网络模型。
In order to model and simulate systems with time-varying functions or processes, a feedback process neural network model with time-varying input and output functions is proposed.
针对输入和输出均为时变函数或过程的实际系统建模和仿真问题，提出一种输入和输出均为时变函数的反馈过程神经网络模型。
For the problem that the input and output of real systems is a continuous process relative to time, this paper proposed a process neural network model for continuous function approximation.
针对实际系统的输入输出是与时间有关的连续过程，提出了一类用于连续过程逼近的过程神经元网络模型。
First, it researches the category and design process of the fault diagnosis model based on neural network. The model includes 6 categories and 5 design processes.
首先研究了基于神经网络的故障诊断模型的分类和设计步骤，并将诊断模型大体分为6类和5个设计步骤；
Aimed at the pattern classification problems relating to time process, a neural network model named self-organization process neural network is brought forward in this paper.
针对与时间过程有关的模式分类问题，提出了一种自组织过程神经元网络模型。
The BP neural network trained with the data from the papermaking effluent treatment experiment under laboratory conditions and a network model was built for the papermaking effluent treatment process.
通过在实验室条件下进行造纸废水处理试验取得的数据对BP神经网络进行训练，建立了造纸废水处理过程的网络模型。
This paper proposes a method of using neural network model reference adaptive controller to control machining process.
本文提出了用神经网络模型参考自适应控制器对加工过程进行控制的方法。
BP Neural Network is applied in this paper to establish the model between the process parameters and the shrinkage, and to optimize the process parameters by the test data.
采用BP神经网络建立注塑成型工艺参数与注塑制品收缩率之间的网络模型，并通过试验数据对成型工艺参数进行优化。
In view of the model nonlinearity, the complexity, and the measuring difficulty in the crystallizing process of cane sugar, a genetic neural network model is established.
针对蔗糖结晶过程控制中存在的模型复杂性和检测困难等问题，建立了蔗糖结晶过程的遗传神经网络模型。
A method, which combined neural network and genetic algorithms, was employed to simulate the catalytic distillation process by black box model and optimize the operational parameters.
采用神经网络与遗传算法相结合的方法，用黑箱模型计算催化精馏过程，并进行了全局优化；
The results of emulating practical wastewater treatment process of the network model show that the BP neural network has a strong learning capability.
该网络模型仿真实际废水处理过程的结果表明，BP神经网络具有很强的学习能力。
A controlling model of inverter spot-welding process and a fuzzy neural network configuration about inverter spot-welding with constant current control were built in this paper.
推导了逆变点焊过程控制模型，并构建了逆变点焊模糊神经网络恒电流控制系统结构。
The effluent treatment process was predicted with this BP neural network model with the average relative error of 19%, which indicates that the generalization power of the network is not so desirable.
利用BP神经网络模型实现了对造纸废水处理过程的预测，平均相对误差为19%，表明网络泛化能力不是很好。
Since the respiration rate is difficult to get, neural network modeling technique and DO process mathematic model are combined to obtain the hybrid model of DO.
由于溶解氧过程模型中的呼吸率不易直接得到，将神经网络建模技术与溶解氧过程数学模型相结合得到溶解氧的混合非线性过程模型。
The soft-sensing prediction model of product concentration of citric acid double-effect evaporator process is founded on the PCA-BP neural network.
笔者采用PCA BP神经网络建立了蒸发过程出料液浓度软测量预测模型。
The Fuzzy Neural Network (FNN) methodology is proposed to realize the model of the nonlinear process.
模糊神经网络(FNN)方法可以实现非线性过程模型。
Aiming at the difficulties in modeling the complex MIMO system, the multilayer local recurrent neural network is used to build the predictive model of the process off-line.
针对复杂多变量系统难以建模的问题，采用多层局部回归神经网络离线建立其预测模型。
Building the model through using the MATLAB neural network toolbox's function, this paper introduces the BP network model establishment process in detail.
通过调用MATLAB神经网络工具箱中的函数建立模型，本文详细介绍了BP网络模型建立的过程。
The method of artificial neural network was utilized to research the coordinating of the process parameters and the prediction of the forming pressure, and the model was established.
利用人工神经网络方法研究了该工艺的参数协调和变形力预测等问题，建立了神经网络预测模型。
Using BP neural network to simulate the process of construction fugitive dust, and get quantitative model under certain constraints.
利用BP神经网络，对施工扬尘过程进行模拟，得出一定约束条件下的扬尘量化模型。
At the same time, in order to insure the calculability of the objective function in the searching process of the particle swarm, neural network is used to model the voltage boosting circuit.
同时为了保证粒子群在搜索过程中目标函数的可计算，采用神经网络对升压电路进行建模，通过实验数据对神经网络进行训练并测试。
This model is nonlinear mixed integer programming and can be solved with neural network method and the chart of computer calculation process is also given.
该模型属非线性混合整数规划问题，采用神经网络方法求解，并给出了计算机软件算法框图。
In the paper, fuzzy neural network method is used to control the size accuracy in grinding process and fuzzy inference BP-network model is produced.
采用模糊神经网络方法进行磨削加工尺寸精度的控制，给出了模糊推理BP网络模型。
Based on BP neural network model technology, a new model about the relation of wool washing processing parameters and washing quality was developed and used to work out the new wool washing process.
基于BP神经网络方法，建立了洗毛工艺参数与洗毛质量之间关系的模型，对洗毛新工艺进行判别。
The method is based on vector space model and process neural network.
同时介绍了空间矢量调制的算法。
The method is based on vector space model and process neural network.
同时介绍了空间矢量调制的算法。
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