The new method can also be applied to other pattern recognition problems.
该方法也可用于解决其它模式识别问题。
Most of the ideas and algorithms can be applied to other pattern recognition problems.
本文的很多设计思想和算法可以用于许多其他识别问题。
Variable precision rough set model was developed to solve emitter recognition problems.
为解决辐射源识别的问题，研究了变精度粗糙集模型生成规则。
A speaker cluster model is used to manage recognition problems caused by between-speaker variability.
本发明提出的语音辨识方法系使用语者分群模型来处珀因语者特性的差异所产生的辨识问题。
For any kinds of pattern recognition problems, there are some values of application or reference in it.
对于各种模式识别的情况，它都具有一定的实用和参考价值。
It has obvious advantages in large dimensional or non-deterministic pattern data recognition problems in addition to all merits of WISARD.
它除了保持WISARD的原有特点之外，在解决大维数或非确定性模式数据的识别问题以及控制系统成本方面有着明显的优势。
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。
Support vector machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition problems.
支持向量机是统计学习理论的一个重要的学习方法，也是解抉模式识别问题的一个有力的工具。
The proposed approach in this paper offers a great potential for solving difficult handwriting character recognition problems under reasonable assumptions.
本文用到的方法对于在合理的模型假设下解决手写字符识别问题呈现了很大的潜力。
Many practical pattern recognition problems, such as recognition of handwritten Chinese characters belong to the pattern recognition problems of large scale.
许多实际的模式识别问题如对手写体汉字的识别，都属于大规模的模式识别问题。
So, we study the pattern recognition problems from the view of uncertainty reasoning and reveal the nature of various pattern recognition methods, which will be significant.
因此，我们从不确定性推理的角度研究模式识别问题，从而揭示各种模式识别方法的统一的本质，就显得非常有意义。
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。
Since the data samples in machine learning and pattern recognition problems generally distribute in multi-modal distribution, this thesis proposed a prototype based feature ranking model.
由于模式识别、机器学习等问题的复杂性比较高，数据分布通常呈现多模态分布。
Tightly based on "Project 973", target recognition problems basing on High Resolution Radar Profile (HRRP) are discussed in the thesis, and two novel approaches of target recognition are proposed.
本文紧密结合“973项目”，研究高分辨一维距离像的雷达目标识别问题，提出了两种目标识别方法。
It has been applied to closely related problems like speech recognition and to very different problems like robot navigation.
它被应用于许多类似的问题如语音识别和一些完全不同的问题如机器人导航。
So the problems to address are recognition and collision, with the use case being combining multiple documents.
因此，我们要解决的问题是识别和冲突，以及结合多种文档的用例。
Such documents, containing multiple markup vocabularies, pose problems of recognition and collision.
这种包含多种标记词汇表的文档带来了识别和冲突问题。
Then America's securities watchdog began investigating Dell for accounting problems, probably relating to revenue recognition, and Dell may yet have to restate profits for the past few years.
随后，美国证券监察机构开始对戴尔与收入确认或有关联的财务问题展开调查，戴尔因此大概必须就过去数年的利润重编报表。
Today, unlike 20 years ago, there is widespread recognition of a long list of simmering conflicts, unsettling trends, and mounting global problems.
现在已不同于20年前，对一长串的潜在冲突、令人不安的趋势、与日俱增的国际问题的认知已经较为普及。
Widespread recognition of reality is the crucial step before problems can be solved.
普遍认清现实是问题得以解决的关键步骤。
POSIX locales set the encoding of plain text files, a function that also removes some of the problems regarding file type recognition and file name processing.
POSIXlocale设置纯文本文件的编码，这项功能同时消除了关于文件类型识别和文件名处理的一些问题。
Yet there is a broad recognition, at least, that Japan’s 21st-century problems cannot be addressed by its 20th-century system.
然而大家还是广泛认为，至少日本在二十一世纪的问题不能用二十世纪的体制来处理。
Companies have worked out ways around many of the problems that befuddled previous speech-recognition technologies.
之前令语音识别技术困惑的许多问题已经被各个公司解决。
Recognition and measurement of human resources are most urgent problems in human resource accounting.
人力资源的确认和计量是人力资源会计中最需要解决的问题。
In the process schools will face a series of problems such as in the goal recognition, subject participation, concrete action and evaluation.
在创建过程中，学校在目标认识、主体参与、具体行为和评估等方面都会面临一系列的问题。
For instance, once we have learned how a specific expert solves his problems, this may be used more generally and thereby becomes a rule in structural pattern recognition.
例如，一旦我们知道一个专家怎么去解决他的问题，于是可以把他的方法更一般化，结果形成结构模式识别中的一条规则。
The driver for your sound card may cause problems with the Microphone Setup Wizard and speech recognition.
您声卡的驱动程序可能造成麦克风安装向导及语音识别的问题。
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。
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。
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。
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