本文将人工神经元网络用于DSS中。
In this paper, the artificial neural network utilized in the DSS is introduced.
本文提出了人工神经元群的逐层学习方法。
Level by Level Learning for Artificial Neuronal Groups is proposed in this paper.
现在，让我们来看看一个人工神经元的模型。
Now, let us have a look at the model of an artificial neuron.
介绍了人工神经元模型与神经网络基本结构。
The artificial neuron model and backbone structure of neural network is introduced.
人工神经元方法辅助体育馆结构概念设计研究。
Study on the assistant conceptual design of gymnasium based on the neural network.
人工神经网络是简单的人工神经元的简单聚类。
Artificial neural networks are the simple clustering of the primitive artificial neurons.
人工神经元网络简介及其在电力系统中的应用情况。
A brief introduction to artificial neural networks and their application status in power systems.
研究了基于人工神经元网络模型的非线性预测控制。
The study of nonlinear predictive control based on artificial neural networks is carried out.
人工神经元的权重越高，乘以它的输入的强度便越大。
The higher a weight of an artificial neuron is, the stronger the input which is multiplied by it will be.
测量技术应用了人工神经元网络出色的模式识别能力。
The measurement technology is based on the principle of artificial neural network featuring excellent pat tem recognition.
这些人工神经元都连接在一起，形成一个人工神经网络。
These artificial neurons are hooked together to form an artificial neural network.
利用人工神经元网络对工作面的顶板来压步距进行了预测。
The intervals of main roof weighting at work faces were predicted by using artificial neural network.
介绍了将人工神经元网络用于灾害性天气(暴雨)预报研究的情况。
The research on the application of artificial neural networks for calamitous (rainstorm) weather forecast is reported.
的关键，CNN是人工神经元，这是一个数学函数模仿生活神经元。
The key to the CNN is the artificial neuron, which is a mathematical function that imitates living neurons.
本文提出一种基于人工神经元模型的新方法对混合物进行定量分析。
A novel method which is based on the model of artificial neuron was proposed for quantitative analysis of mixtures.
提出了一种基于人工神经元网络(ANN)的电力系统谐波测量方法。
AN approach of measuring harmonics in power system based on artificial neural network (ANN) is put forward in this paper.
胡上序，程翼宇．人工神经元计算导论．北京：科学出版社，1994。
Hu S X, Cheng Y Y. Artificial Neural Networks Introduction. Beijing: Publishing Company of Science, 1994
隐含层对人工神经元网络(ANN)训练的速度、精度和收敛性有很大的影响。
Hidden layers of Artificial Neural Networks (ANN) have large effects on the speed, precision and convergence for training the ANN.
通过调节人工神经元的权重，我们能不能获得我们想要的、真对特定输入的输出。
By adjusting the weights of an artificial neuron we can obtain the output we want for specific inputs.
本文提出并实现了一种基于人工神经元网络理论的通信网信号识别系统的研制方案。
This paper proposes and investigates the approach to distinguish signals in communication networks based on artificial neural networks.
基于模糊逻辑理论和人工神经元网络，提出了将模糊神经网络应用于变压器故障诊断的方法。
Based on fuzzy logic theory and artificial neural networks, the method of the transformer fault diagnosis with fuzzy neural networks is presented.
联想记忆的实现一直是人工神经元网络研究的方向之一，其中一个重点就是实现多对多联想记忆。
The realization of associative memory is always the one of researching directions of artificial neural networks and the key problem is to realize associative memory for many to many associations.
将时差方法与人工神经元网络方法有机地结合起来，提出了一种在高炉铁水含硫量预报中的应用策略。
A method combining temporal difference method with neural network model is applied to predict the sulfur content of the hot metal.
结合气象应用简要介绍人工神经元网络BP模型的原理和方法，对其在气象预测中的应用经验作了评述。
This paper has introduced briefly the principle and method of BP model of the artificial nerve cell network, and discussed its application experience on the meteorological forecast.
实证分析的结果表明论文所建立的基于人工神经元网络的股票分析模型具有一定的理论价值与应用价值。
The results of the positive analyse demonstrates that the neural stock analyse model that established in the thesis has the sectional theory value and application value.
本文给出了一种人工神经元模型，并对其进行了分析，且将所获得的结果与神经生理学的结果作了比较。
The paper gives and analyses an artificial neural net. The results obtained by analysis are compared with the ones derived in physiology.
基于人工神经元自适应的谐波电流检测方法，能够准确、实时地检测电网中的谐波，且有一定的自适应能力。
With adaptive ability, harmonic current detecting approach, based on ANN, can accurately and real-timely detect harmonic currents for power network.
利用人工神经元网络进行安全评价可以克服传统的安全评价方法的缺点，提高安全评价方法的精确度和可靠性。
Safety assessment method using BP neural network can overcome the defects of traditional safety assessment methods and enhance its precision and reliability.
本文将信息扩散方法和BP型人工神经元网络相结合，建立了一类可供地震工程领域使用的模糊人工神经元网络。
By using information diffusion method combined with BP neural network, the author suggests a kind of fuzzy neuron in this paper which is applicable to earthquake engineering.
本文将信息扩散方法和BP型人工神经元网络相结合，建立了一类可供地震工程领域使用的模糊人工神经元网络。
By using information diffusion method combined with BP neural network, the author suggests a kind of fuzzy neuron in this paper which is applicable to earthquake engineering.
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