人工分类

这种人工分类的工作重复而单调、效率低下。

This kind of artificial classification of work repetition but the monotone , efficiency is lowly .

人工分类系统的目的仅仅是为了辨别植物，它并不能反映物种之间真实的关系。

Artificial classification systems are designed to aid identification , and may not reflect true relationships . e.g.

对Web文档进行人工分类可以达到准确的分类效果，但需要大量的时间和人力的投入。

Web text classification by hand can get the exact result , but it will spend a lot in time and manpower .

文本分类的方法包括人工分类和自动分类。

Text classification include manual method and automatic method .

面对如此巨大的信息，人工分类选择已经无能为力，计算机自动分类己成为网络时代的必然选择。

Facing such a great deal of information , manual classification becomes helpless , and must be substituted by Text Automatic classification .

利用生物显微镜观测海水样品，对赤潮优势藻种人工分类和计数，是目前分析有毒赤潮藻种类和数量的主要手段。

Currently , the most common method for the analyzing of the harmful algae is to manually sorting and counting algae under microscope .

该方法与人工分类、神经网络、决策树等方法比较，其测试误差低，测试速度高。

Compared with artificial classification , nerve network , and decision tree , its test error is low and the speed is high .

研究人工分类、机器学习分类的结合方法，提出基于“分类-使用-调整”逐步求精的分类方法。

Studying the combination of manual and machine learning classification , an classification approach for improving the precision based on " classification-use-adjustment is proposed " .

针对人工分类的不足，研究了动态聚类法在车辆实际行驶工况开发中的应用。

Taking into account the deficiency of artificial classification , the purpose of this paper was to report the application of dynamic cluster to the development of vehicle real world driving cycle .

网络信息资源的快速膨胀，使得传统的人工分类检索的方法力不从心，而信息的实时性和动态性又使得静态的分类方法显得不适应。

The traditional manual retrieval method can not catch up with the rapid inflation of Web resources . And it is difficult for static classification to adapt to the real-time and dynamic Web information .

这种人工分类的做法不仅耗费大量的人力、物力和财力，而且存在分类结果一致性不高的问题。

But , this kind of artificial classification approach is not only cost a lot of human , material and financial resources , and the existence of the classification results consistency is not high .

为了解决对新闻文档人工分类繁琐的问题，本文采用文本挖掘方法对新闻专题进行组织和生成，对新闻事件进行探测与跟踪，然后进行相关新闻专题的归纳。

In this thesis , the author uses the text-mining method of organizing all news formats datums to organize and generate special news topics . To solve the difficulties of manually categorizing news documents , the topic generation is related to the news event probing and tracking .

人工晶体分类及其在眼内的生物相容性

Classification of intraocular lens and its intraocular biocompatibility

目前，在很多的图像分类系统中仍然是利用人工手动分类。

The manual classification has still been applied in a lot of image classification systems .

由于之前在制作钓鱼模板的过程中，需要人工进行分类，工作量大且准确率低，造成了工作资源的浪费，利用此模块可以节省时间，提高了效率和模板分类的准确率。

Because making fishing template needed manual classification before , heavy workload and low accuracy rate resulted in a work resource waste .

结论三分群血细胞分析仪仅作为白细胞分类的初筛，尚不能完全替代人工显微镜分类方法。

Conclusion The blood cell analyzer can only provide simple classification of leukocyte count and can not completely replace the microscope classification .

这些方法自动化程度高、性能稳定、适应性强，并且相对于人工文本分类更加高效。

And they have high automation , stable performance and strong adaptability , and compared with manual classification , they have more efficient .

以人工非线性分类问题为对象进行研究，仿真实验结果表明采用新保角映射可以快速显著地改善分类器泛化性能，而且能大幅度地减少支持向量的数目。

Our experimental results for the artificial nonlinear data set show that the generalization performance of support vector machines classifier is improved remarkably and the number of support vectors is decreased greatly .

由于网络中日益产生大量的图像，利用人工手动分类存在着工作量大而乏味，工作人员眼睛极易疲劳且效率低下，分类结果容易受分类人员主观因素影响而产生语义分歧等问题。

As the result of booming images on Internet , the manual classification brings several problems , such as large amount of tedious work , eye fatigue and inefficiency of staff , and classification error caused by ambiguous semantics .

早期研究是基于知识的，通过人工建立分类规则确定特征项，随着统计机器学习理论和统计自然语言处理技术的发展，使用机器学习的方法确定特征项得到应用，并取得了良好的效果。

Early studies are based on knowledge-based engineering methods , and feature items are determined by artificial rules ; with me development of statistical machine learning theory and statistical natural language processing technology , machine learning methods are applied to determine the feature items , and have achieved good results .

基于气象数据与AVHRR热红外数据的人工神经网络分类方法

Artificial Neural Network Method Used for Weather and AVHRR Thermal Data Classification

实验结果表明，该算法在分类精度上具有一定的优势，鲁棒性更好。2.提出了基于自适应PSO的人工免疫网络分类算法。

The results of experiments indicate that the new algorithm has better accuracy and robustness . ( 2 ) A self-adaptive PSO based Artificial Immune Network classification algorithm is proposed .

电力变压器故障诊断的人工免疫网络分类算法

Artificial Immune Network Classification Algorithm for Fault Diagnosis of Power Transformers

用自组织人工神经网络分类、识别矿物

The artificial neural Nural network for classification and recognition of minerals

五台山亚高山草甸的人工神经网络分类与排序

Classification and ordination of subalpine meadows in Wutai Mountains by artificial neural network methods

但目前多数油田工作者还是通过人工判断、分类、统计，然后再作报表。

But now workers in the oil fields make tables processing by artificial judging , classifying , statistic , etc.

虽然人工编码和分类已使用多年，但是它的缺点包括时间的消耗和细节的缺乏，都需要认真的考虑。

While manual coding and categorization have been used for years , it 's time consuming and lacks the granular detail that 's needed to make decisions .

本文在对测量数据进行模式识别的基础上研究了一种人工神经网络分类的方法，它的特点是对测量信号具有较好的自适应性，并且具有较好的分类效果。

In this paper , we study the neural networks method for classification based on the pattern-recognition to MCG data , which has the advantage of preferable adaptability and classified result .

该算法将人工免疫网络分类算法引入到了手写数字识别领域，探索了人工免疫网络分类算法在手写数字识别方向的可行性与有效性，得到了良好的实验结果。

It explores the feasibility and effectiveness of artificial immune network classification applied in Handwritten Digits Recognition . The results of experiments show that the algorithm is viable and has good performance .

主要介绍了人工湿地的分类、除污机理、影响因素，并在对其所存在问题分析的基础上，评述其应用领域与前景。

Its classification , mechanism and influence factors were mainly introduced in this paper . Based on the analysis of its present problems , its applied fields and promising prospects were discussed .