Artificial neural network pattern recognition has become especially suitable for solving a class of problem.
模式识别成为人工神经网络特别适宜求解的一类问题。
The BP artificial neural network pattern recognition has a 98% accuracy, which may predict the activities of taxol analogues.
四参数的定量构效关系显著性较好，神经网络模式识别总识别率为98%，可较精确地预测化合物的抗癌活性。
This research demonstrates the potential and procedure of applying computer vision and neural network pattern recognition techniques to food quality control.
本研究展示了在食品质量控制过程中，应用计算机视觉系统和神经网络技术的潜在优势。
This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
A combined classifier is designed. There are two recognition ways used in the classifier. They are the least distance pattern recognition method and the BP neural network pattern recognition method.
设计了一个二级组合分类器，该分类器综合使用了最小距离和BP神经网络两种模式识别方法。
Neural network can solve some problems of blast furnace expert system such as knowledge getting and inference ability, and it is suitable for pattern recognition of blast furnace data distribution.
神经网络可以解决高炉专家系统最困难的知识获取与推理能力弱等问题，并适合于对高炉分布数据进行模式识别。
In this paper, we try to combine the neural network with pattern recognition and find several new methods in fingerprint automatic identification as the practicable solution to the trouble.
本文试图将神经网络技术与模式识别技术相结合，提出若干行之有效的指纹自动识别新方法，为解决指纹自动识别技术中存在的种种困难找到切实可行的新途径。
The results demonstrate that pattern recognition of ceramic raw materials by artificial neural network agrees with the fact.
研究结果表明，人工神经网络用于陶瓷原料的模式识别，其结果和实际一致。
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。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
Neural network is one of the main methods of pattern recognition.
神经网络是目前模式识别的主要方法。
To solve the pattern recognition problems, the neural network can achieve the involved demarcate of earmark space, and it cut out for high acceleration and parallel systems to achieve.
神经网络对于解决模式识别问题来说，可以实现特征空间较复杂的划分，适合于高速并行处理系统来实现。
A hierarchical feedforward neural network model particularly suited to practical statistical pattern recognition tasks is proposed in this paper.
本文提出了一个适用于统计模式识别任务的阶层式前馈神经网络模型。
One of the main study in pattern recognition is handwritten digit recognition, In thispatper, we discuss multi-layered neural network used to handwritten digit recognition.
手写体数字识别是模式识别中的研究课题之一，本文对多层神经网络用于手写体数字识别进行了探讨。
In this paper, some intelligent optimization control technologies, such as pattern recognition, neural network and expert system, and their application on the process of oil making are discussed.
简单介绍了模式识别、神经网络和专家系统等智能优化技术及其在石油炼制过程中的应用。
The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.
文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。
Simplifying building polygon by pattern recognition assisted by Neural Network and mathematical morphology.
利用神经元网络和数学形态学对建筑物多边形实现了模式识别化简。
The result indicates that based on CP neural network, the fault pattern recognition system has strong nonlinear mapping ability, therefore it can be used to correctly classify the mechanical faults.
结果表明，以CP神经网络构筑的故障模式识别器有很强的非线性映射能力，可对机械设备故障模式进行正确分类。
A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.
针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。
B-spline neural network is a three layer feedforward neural network and can be used in modeling, control, pattern recognition for nonlinear systems and other fields.
样条神经网络是一个三层前向神经网络，可广泛用于非线性系统的建模、控制和模式识别等领域。
Therefore, the hydrocarbon pattern recognition of neural network may be considered as an effective tool to forecast reservoir oil and gas in East China Sea.
神经网络油气模式识别技术可以作为东海地区储层油气预测的一种手段。
Present applications of neural network are as follows: pattern-recognition, self-adaptation control, market analysis, decision optimization, prediction analysis, knowledge processing, etc.
当前神经网络的主要应用领域有：模式识别、自适应控制、市场分析、决策优化、预测分析、知识处理等。
An intelligent pattern classifier with B-P neural network is used in recognition of those five kinds of AE signals successfully.
采用B - P型反向传播神经网络构成的智能化模式分类器，对此五类声发射信号进行识别，获得了满意的效果。
Neural network has been nicely applied in pattern recognition and hydrocarbon prediction in applied geophysics.
在应用地球物理领域中，人工神经网络在模式识别和油气预测方面得到了较好地应用。
In recent years, artificial neural network is widely applied in breakdown diagnosis, pattern recognition, hydrology forecast and so on.
近年来，人工神经网络广泛应用于故障诊断、模式识别、水文预报等领域。
Secondly, pattern recognition for control chart is researched based on the BP neural network.
其次，基于BP神经网络，对控制图的模式识别问题进行了研究。
In order to improve the pattern recognition precision, using the neural network recognition and optimal method, a new pattern recognition method of shape signal was established.
为了提高带材板形识别的精度，应用神经网络和最优化方法，构建了一种新的板形信号模式识别方法。
This paper introduces three kinds of commonly used diagnosis methods, which are BP neural network method, fuzzy diagnosis method and, fuzzy pattern recognition method.
介绍了凝汽器的故障诊断常用的三种诊断方法，BP神经网络法、模糊诊断法、模糊模式识别法。
This paper introduces three kinds of commonly used diagnosis methods, which are BP neural network method, fuzzy diagnosis method and, fuzzy pattern recognition method.
介绍了凝汽器的故障诊断常用的三种诊断方法，BP神经网络法、模糊诊断法、模糊模式识别法。
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