A new automatic classification model of remote sensing image using pixel information decomposition combined with neural network classification is proposed in this paper.
提出了一种新的基于像元信息分解和神经网络分类相结合的城市绿地遥感信息自动提取方法。
In that period, the neural network community suffered from lack of knowledge on the competing classification procedures.
在这十年里，研究神经网络的人因缺少竞争分类方法知识而受挫折。
Artificial neural network was taken for a objective and practical method in matter classification.
在事物分类中，人工神经网络被认为是一种客观而实用的方法。
It is shown that neural network is a good tool to integrate information for defect classification.
同时可以看到神经网络是一个融合多个缺陷分类特征的有效工具。
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。
Neural Network is applied to classification and auto - memory in all fields, for the superiority of itself.
神经网络由于其本身具有的优越性，已广泛应用于各个领域中的分类、联想问题。
Artificial neural network together with gas sensors, which is applied to identification, classification, diagnosis and prediction, will further improve the intelligence of gas detection system.
人工神经网络与气体传感器相结合，用于识别、分类、诊断和预测，将进一步提高气体检测系统的智能水平。
General regression neural network is proved with certain superiority in the ability of approaching, classification and learning speed.
广义回归神经网络在逼近能力、分类能力和学习速度方面具有较强优势。
Perceptron is a kind of useful neural network model and can classify the classification of the detachable linearity correctly.
感知器是一种有用的神经网络模型，可以对线性可分的模式进行正确分类。
Experiment shows neural network classifier that is optimized by algorithm could not only have fast learning speed but also ensure accuracy of classification.
实验结果表明：算法优化后的神经网络分类器不但学习速度快，还能保证分类精度。
Based on the Crossing Cover Algorithm of forward neural network, this paper realizes the automatic classification of texts after the preprocessing of the texts.
本文利用前向神经网络的交叉覆盖算法，通过对文本进行分词的预处理后，实现文本的自动分类。
The paper briefly introduces the fundamentals of neural network of self-organizing feature map and on the basis of which discusses the classification of land reclamation conditions.
本文简要介绍了自组织特征映射神经网络的基本原理，并利用其原理对土地复垦的条件分类进行了初步研究。
This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.
提出一种基于云理论和神经网络构造决策树的文本分类方法。
This paper presents a classification method for data mining based on BP neural network, and puts forward improvement ideas.
本文介绍一种基于BP神经网络的数据挖掘的分类方法，并提出了改进思想。
In the neural network mode classification method, one of the relatively famous methods is that "competitive learning".
神经网络模式分类方法中，比较著名的方法之一就是“竞争学习”。
Then damage identification of severity of bolt looseness was studied by utilizing the pattern classification function of the BP neural network.
然后利用BP神经网络的模式分类功能，进行了螺栓松动程度的损伤识别研究。
Use fuzziness measures as objective function of neural network can depict uncertainty of pixels' category validly so as to optimize image classification by minimizing the objective function.
使用模糊测度作为神经网络的目标函数可以有效地描述像素类别的不确定性，从而通过使其最小实现图像分类优化。
The experiment shows that SVM processes better classification performance and spreading potential than RBF manual neural network under the small study sample condition.
实验表明，在小学习样本条件下SVM比RBF人工神经网络具有更好的分类性能和推广能力。
The artificial neural network provides us a new theoretical method on the stability classification of roadway surrounding rock.
人工神经网络理论的出现为人们研究巷道围岩稳定性分类提供了一种新的理论方法。
In the end we use neural network combined with RS theory to realize ventricular QRS classification, thus we set up the basis for the following ECG auto-diagnosing.
论文最后部分提出了将RS理论与神经网络理论结合来对各种室性QRS波进行分类，为心电图的自动诊断奠定了基础。
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。
In this paper we look into the application of moment function and neural network in feature extraction and pattern classification of image recognition respectively.
本文主要研究了矩函数和神经网络分别在图像识别的特征提取和模式分类方面的应用。
Taking the advantage of neural network in dealing with non-linear problem, neural network is applied to study the discernment and classification of the strip surface defects.
运用神经网络处理非线性问题的优势，将其应用于带钢表面缺陷的识别与分类研究。
This paper put forward and carried out a text classification method using feed-forward neural network and K-nearest neighbor.
提出并实现了一种结合前馈型神经网络和K最近邻的文本分类算法。
Due to its structural simplicity, the radial basis function (RBF) neural network has been widely used for approximation and classification.
径向基函数(RBF)神经网络因其结构简单而被广泛地用于非线性函数近似和数据分类。
The key idea is to take advantage of classification abilities of neural network for unknown attacks and the rule-based system for the known attacks.
主要思想是利用神经网络的分类能力来识别未知攻击，使用基于规则系统识别已知攻击。
Pattern classification of flaw is carried out with BP neural network and the feature selected.
利用BP神经网络分类器及选择的特征值对缺陷进行了模式分类。
Pattern classification of flaw is carried out with BP neural network and the feature selected.
利用BP神经网络分类器及选择的特征值对缺陷进行了模式分类。
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