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 dynamic prediction method based on process neural networks is proposed for the process forecasting and prediction problem of dynamic system.
针对动态系统过程预测预报问题，提出了一种基于过程神经元网络的动态预测方法。
To solve the classification of dynamic signal, this paper proposed a feedback process neural networks model and classification methods based on this model.
针对动态信号模式分类问题，提出了一种反馈过程神经元网络模型和基于该模型的分类方法。
In this model, the continuous input-output mapping of the system is realized by nonlinear mapping capability to the time variable of process neural networks.
该模型利用过程神经元网络所具有的对时间变量的非线性映射能力，实现系统的输入、输出之间的连续映射关系。
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。
The two different ways based on the time-domain feature expansion and the orthogonal decomposition feature expansion are used to establish process neural networks model.
采用基于时域特征扩展和基于正交分解特征扩展两种方式建立过程神经元网络模型，利用电力负荷数据进行网络训练和负荷预测。
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。
In consideration of the complexity of the aggregation operation of time in process neural networks, a new learning algorithm based on function orthogonal basis expansion is proposed.
该文在考虑过程神经网络对时间聚合运算的复杂性的基础上，提出了一种基于函数正交基展开的学习算法。
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。
Love, in other words, USES the neural mechanisms that are activated during the process of addiction.
换句话说，爱情使用的是在成瘾过程中被激活的神经机制。
This process - 'neural plasticity' - is essential to learning (our brains change structure when we take on new information).
这一过程——也即神经重塑——是大脑学习的关键。
It implies that plasticity in neural systems involved in our ability to process observed pain can trigger actual pain.
它揭示了神经系统的可塑性可以激发出真正的痛感。而这种可塑性与我们在看到的疼痛时的处理能力有关。
Those that lost died off in a pruning process scientists call "neural Darwinism."
那些在修剪过程中失去的细胞科学家称之为“神经达尔文主义”。
Such a “neural prosthesis” could someday be used to facilitate the memory-forming process and help patients remember.
这种神经假体（neuralprosthesis）或许某一天能够用于促进记忆形成的过程并帮助患者记忆。
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。
As the patient comes to grip with the issue, they start to feel better because during this process, new neural connections are being made.
当病人开始谈到问题关键的时候，他们开始觉得情形有所好转，因为在这个过程中，新的神经连接已经产生。
Then, the neural networks model is applied to identify and process input data, design suitable networks layer for the vehicle longitude dynamics system control.
利用神经网络模式识别能力对输入数据处理辨别，设计合适的控制网络层对汽车纵向动力学系统实施控制；
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。
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。
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；
Against difficult convergence problem when the traditional neural networks are applied to complex process system, a hybrid expert neural networks model is brought forward.
针对传统神经网络用于复杂过程系统的控制时难于收敛的问题，文章提出了基于混合建模的模块化的神经网络模型。
Logging curves and stratum parameters are changed to image pattern by image process technology. Neural networks are introduced to extract and remember pattern character of curves automatically.
利用图像处理技术将测井曲线和地质参数转化为图像模式，由神经网络自动提取和记忆曲线所表征的小层模式特征。
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。
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。
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