This system is made up of image capture unit, 3 parallel neural network recognition units, mobile characteristics calculation unit, syncretism logic, and corresponding software.
该系统由图像捕获单元，3个并行工作的神经网络识别单元、运动特征计算单元、融合逻辑和相应的软件构成。
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。
One example of this when working with digit recognition would be to create a specialized neural network that was designed to mimic the way the eye perceives data.
这方面的一个例子是，当数字识别系统工作时会创建一个专门的神经网络，用它来模拟眼睛感知数据的方法。
Much of the work on digit recognition has been done in the neural network community, but more recently support vector machines have proven to be even better classifiers.
大部分数字识别的工作可以由神经网络来完成，但最近支持向量机也被证明可以在分类方面做得更好。
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。
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。
Close attention is paid on the application of neural network technology to automatic recognition and grading of eddy current signals in the field of NDT nowadays.
将神经网络技术应用于涡流检测信号的自动识别与分类是目前无损检测界关注的问题。
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。
The recognition of point map mark by using neural network is introduced in this paper together with the flowchart of the method.
基于神经网络的点状地图符号自动识别研究，设计了点状符号识别流程。
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。
In this paper, a method of the Neural Network is proposed for the word recognition.
提出了一种基于人工神经网络的含噪声文字的识别方法。
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。
This paper describes the use of multi-layer perception model of neural network in speech recognition.
本文研究神经网络的多层感知器模型在语音识别中的应用。
License plate location; Character segmentation; Feature extraction; Character recognition; Neural network.
车牌定位；字符分割；特征提取；字符识别；神经网络。
Wave recognition by artificial neural network is a new research field.
人工神经网络用于波形识别是一个新的研究领域。
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。
The mean accurate rate of recognition of the LVQ neural network would be different, as the input vectors comtained different kind of FTIR characteristic frequencies.
作为输入的FTIR特征谱峰不同时，则网络的平均分类识别正确率也不同。
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。
The algorithm is tested by two generally used functions and is used in training a neural network for image recognition.
该算法经两个常用函数检验，并在图象识别的神经网络权值训练中得到应用。
Most of the neural network handwritten digits recognition systems adopt a net - work with single structure.
用神经网络识别手写体数字，大多数采用的是单个的神经网络结构。
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。
The paper presents a method of pose-varied face recognition based on neural network and hierarchical support vector machines.
提出了一种基于神经网络和层次支持向量机的多姿态人脸识别方法。
The artificial neural network(ANN) and the fuzzy recognition(FR) are information process systems to simulate biological mechanism.
人工神经网络和模糊识别理论作为模拟生物体的信息处理系统。
But the results have shown that the HMM neural network can work successfully on the recognition of handwritten characters.
但是我们的试验结果表明，概率神经网络可以成功的用于联机手写字符的识别问题。
Neural network has been publicly used for character recognition.
神经网络被广泛地应用于字符识别。
Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.
提出了一种基于免疫识别原理的径向基函数神经网络学习算法。
The mining techniques which use artificial neural network to solve the speech recognition for Deaf - mutes is given.
提出了一种基于人工神经网络的聋儿语音训练识别的多媒体特征挖掘技术。
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。
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。
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