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。
Reducing the iterations as low as 10 showed proportional speedups (but worthless neural net recognition), as did intermediate numbers of iterations.
将迭代次数降到10，加速的倍数也成比例降低（但对神经网络的识别能力无效），迭代的中间数值也会如此变化。
After working through the book you will have written code that USES neural networks and deep learning to solve complex pattern recognition problems.
在完成本书的学习后，你将可以编写代码来使用神经网络和深度学习来解决复杂的模式识别问题。
Artificial neural networks constitute an alternative technique to be used for generalization within the area of statistical pattern recognition.
人工神经网络技术在统计模式识别领域中的推广能力上成为了一个替代技术。
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。
Application of artificial neural networks to pattern recognition.
人工神经网络在模式识别中的应用。
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。
The recognition with BP artificial neural net grader shows that the recognition rate of moment features is rather high, this indicates that this method has better applicable effect.
用BP人工神经网络分类器进行识别，结果表明矩特征的识别率较高，说明该方法具有良好的应用效果。
Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing.
神经网络与深度学习现在为解决许多问题提供了最佳解决方案，例如图像识别、语音识别和自然语言分析。
A speech recognition method, which is based on self-organizing neural networks is presented.
建立了一种基于自组织神经网络的语音识别系统。
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。
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。
Neural network has been publicly used for character recognition.
神经网络被广泛地应用于字符识别。
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。
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。
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。
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。
The result demonstrates the feasibility of using recurrent neural networks for aircraft target recognition.
实验结果表明，递归神经网络用于飞机目标识别是有效可行的。
Presents a new hybrid framework of hidden Markov models (HMM) and radial basis function (RBF) neural networks for speech recognition.
提出了一种隐马尔可夫模型（HMM）和径向基函数神经网络（RBF）相结合的语音识别新方法。
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。
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。
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。
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。
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。
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。
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