Aiming at process neural network aggregation operation problem in time field, a training method of PNN is shown.
为解决过程神经元网络训练涉及的时域聚合运算问题，提出了过程神经元网络的一种学习算法。
A long-term forecast method of timber growth ring density based on process neural network was proposed in this paper.
提出一种基于过程神经网络的木材生长轮密度长期预测方法。
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。
A method based on process neural network for automatically identifying water-flooded formations in middle or late period of oilfield development was proposed.
针对油田开发中、后期的水淹层判别问题，提出了一种基于过程神经元网络的自动识别方法。
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。
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。
The application shows that the algorithms simplify the computing complexity of process neural networks, and raise the efficiency of the network learning and the adaptability to real problem resolving.
应用表明，算法简化了过程神经网络的计算复杂度，提高了网络学习效率和对实际问题求解的适应性。
As the basic unit of Neural Network, Neural Controllers with different learning rules will result in different control effects for the learning process of synaptic weights.
作为神经网络控制的基本单元，采用不同学习规则的神经元控制器，对神经元的学习过程将产生不同的影响。
The time parameter is also imported into the neural network to give the time-varying characteristic of the process.
为表达过程时变的特点，引入时间参数作为神经网络的一个输入量。
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；
There is the better application prospect for the application of artificial neural network in end-point prediction for the whole ferrous metallurgy process.
人工神经网络技术在冶金过程终点预报应用方面具有广阔的应用前景。
Neuron is the basic unit of Neural Network. In the Neural Controller, the learning process of synaptic weights has a close relation with the learning rules.
神经元是构成神经网络的基本单元，在神经元控制器中，突触权因子（加权因子）的学习过程与神经元学习规律有着密切的关系。
In essence, learning in artificial neural networks is an optimization process, that is, an artificial network adjusts the weights of the network on its concrete error information.
从本质上讲，人工神经网络的学习过程是一个优化的过程，即根据具体的误差信息来合理地选择网络的权重。
Then, USES PCA to reduce the dimensions of process data, trains the neural network with that data, and establishes the soft sensor.
本文采用主成分分析技术对过程数据降维，然后用降维后的数据训练神经网络，建立软测量模型。
The intelligent fault diagnostic system includes two parts-the early fault diagnosis method for technical process based on BP-Neural Network and the expert system.
智能集成系统由基于BP神经网络的生产过程早期故障诊断结构和专家系统结构组成。
Objective To study the synthetic process of sodium percarbonate using Back Propagation Artificial Neural Network (BP-ANNS).
目的用前馈(BP)神经网络对过碳酸钠合成工艺进行研究，筛选新的复合稳定剂。
This article presents the decision of obstacle avoidance behavior, robot moving control based on neural network during obstacle avoidance process.
介绍了避障行为的决策、基于神经网络的机器人在避障过程中的运动控制等。
During the control process after the unceasing learning of CMAC neural network controller, this controller would finally play main role in the control system.
在控制过程中CMAC神经网络控制器经过不断学习，最终在控制系统中发挥主要控制作用。
The nitric acid production process optimization question modeling uses the artificial neural network to complete.
硝酸生产过程优化问题的建模采用人工神经网络完成。
It was put forward to apply neural network method to process the dynamic compression test data of molded pulp products.
根据纸浆模塑制品动态压缩试验的测试数据，提出了采用神经网络方法对试验数据进行处理。
The paper USES DSP system board designed by ourselves. Its main task is data process real-time control and expert Fuzzy neural network control scheme.
采用了自行设计的DSP系统板，它主要完成数据处理及实时控制以及专家模糊神经网络的控制方案。
The artificial neural network(ANN) and the fuzzy recognition(FR) are information process systems to simulate biological mechanism.
人工神经网络和模糊识别理论作为模拟生物体的信息处理系统。
Considering the features of acetone refining process, a strategy of neural network based data mining for product quality classification is proposed.
针对丙酮精制过程的特点，提出一种基于神经网络的丙酮产品质量分类挖掘方法。
The learning process of a neural network is considered the process in which neural network variables are changed with a time series of input signals generated from a stochastic information source.
根据该理论，学习过程就是由随机信息源产生的输入信号驱动神经网络参数不断修改的过程；
An optimal control scheme based on fuzzy neural network is proposed through simulating the process of the control system.
通过对控制系统的过程模拟，提出一种模糊神经网络最优控制方案。
The inverse mapping is achieved through BP network, and neural network modul is constructed for designing process parameters.
通过误差逆传播(BP)网络实现了逆映射，建立了工艺参数设计的神经网络模块。
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。
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。
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。
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