And for the handwriting character the system adopts BP neural network to realize the recognition.
而对于手写体字符，系统采用BP神经网络来实现字符的识别。
A mix model with the subspace classifier and BP neural network classifier was realized, which is used in handwritten English letter and number recognition.
最后，用子空间分类器和BP神经网络分类器构造了一个混联模型，用于手写英文字母和数字的识别。
On the basis of evolutionary neural network, the recognition model of promoter in eukaryote's gene was built using BP algorithms and genetic algorithms.
所以在此基础上，利用进化神经网络，采取BP算法和遗传算法建立了真核生物基因启动子识别模型。
Use BP neural network to quantitatively recognize pipeline defect parameter, the error of recognition result is below 10%, and requirement of practical inspection can be completely fulfilled.
应用BP神经网络进行了管道缺陷参数的定量识别，识别结果的误差小于10%，完全满足实际检测的要求。
BP neural network arithmetic is used in the handwritten numeral recognition system. In order to reflect the whole character, we use many input modes to train the networks.
将BP神经网络引入到手写数字识别中，并采用多种输入模式对不同的BP网络进行训练，从而达到全面反映数字特征的目的。
In this paper we give a kind of handwritten digits recognition method based on BP neural network.
本文主要研究BP神经网络在脱机手写体数字识别方面的应用。
At last, single character is recognized by BP neural network, average rate of recognition is 95.7%.
最后利用BP神经网络对单个字符进行识别，字符平均识别率为95.7%。
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。
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。
The paper has conducted the research focusing on speech emotion recognition based on BP neural network.
论文重点研究了基于BP神经网络的语音情感识别。
Now the system can achieve a recognition ratio of 94. 61%. The experimental result shows that the BP neural network can be used for handwritten alphanumeric character recognition successfully.
目前识别率为94.61%，实验结果表明，BP神经网络可成功地用于手写数字字符的识别问题。
In the process of speech and speaker recognition with BP neural network, nearly several hundreds of input nodes are required, that lead a very large network scale and a very slow train speed.
在用BP网进行语音和说话人识别过程中，BP网的输入节点数一般在几百个左右，使得网络的规模过大，训练速度过慢。
This papers proposes a test and recognition method of genetic BP neural network on common digital modulation modes in RFID standard.
本文对RFID标准中常用的数字调制方式提出了一种基于遗传BP神经网络的测试识别方法。
BP neural network is a very new subject. It consists of computer science, biology, recognition science, physics, mathematic and others.
BP神经网络是一种涉及计算机科学、生物学、认识科学、物理学和数学等多门学科的一门崭新信息学科。
In the image recognition section, classical BP neural network is used to classify the type of defects while we compare with the improved classification method of SVM.
在图像识别部分，采用了经典的BP神经网络对疵点类型进行分类，同时与改进的SVM分类方法进行比较。
Use the image illumination correction, reduce the dimension of face images and different lighting conditions, the use of human face images improved the BP neural network for recognition.
运用了图像进行光照校正，人脸图像进行降维及不同的光照条件下的人脸图像运用改进型的BP神经网络对进行识别。
The improvement scheme of traditional BP neural network in speech recognition is mainly studied.
主要研究了传统BP神经网络在实际语音识别中的改进方案。
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。
An automatic recognition method based on the BP neural network for the envelope signal of the rolling bearing is presented.
介绍了一种基于神经网络的滚动轴承故障包络信号的自动识别方法。
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。
A recognition system based on self learning BP neural network for feature data of wheat population images, such as total green areas and leaves areas was designed in this paper.
以小麦群体绿色面积和绿色叶面积指标信息的获取为例，研究了基于图像信息构建自学习BP神经网络识别模型的技术。
According to this algorithm, a numerical recognition system based on BP neural network was designed. This system could be put into the application of numerical recognition such as bill system.
并在此基础上设计一个基于BP神经网络的数字识别系统，此系统可以作为核心部分应用到诸如票据等数字识别中去。
This paper designs an image recognition system based on BP neural network and multi-sensor data fusion.
设计了一种基于BP网络和多传感器数据融合的图像识别系统。
Experiments have proved that the matching method based on BP neural network achieved good results on both speed and recognition rate.
实验证明，基于BP神经网络的匹配算法在识别速度和识别率上都取得了更好的效果。
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。
Moreover, by extracting shape invariant moment characteristics of object region, this paper also presents a BP neural network based object recognition method.
对分割后的目标，提取不变矩特征，然后利用人工神经网络实现了运动目标的快速识别。
Ground objects can be effectively recognized by gray co-occurrence vector and gray co - dimension feature vector with BP neural network and Bayesian network, recognition rate of 70%.
利用灰度共生纹理特征向量和灰度共生-差分维数联合特征向量结合BP神经网络和朴素贝叶斯网络都能对地物进行有效识别，识别率在70%以上。
The results of simulation indicate that comparing with using BP neural network, the recognition rate can be increased 3% by the method proposed. The method can be effectively used in fire detection.
仿真结果表明，与单独采用BP神经网络相比，采用模糊神经网络将识别率提高了3%，该方法可有效应用于火灾探测中。
Principal component analysis (PCA), cluster analysis (CA) and back-propagation artificial neural network (BP-ANN) were used in the data analysis and pattern recognition.
通过主成分分析、聚类分析和BP神经网络对实验数据进行了分析和识别。
Principal component analysis (PCA), cluster analysis (CA) and back-propagation artificial neural network (BP-ANN) were used in the data analysis and pattern recognition.
通过主成分分析、聚类分析和BP神经网络对实验数据进行了分析和识别。
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