Our results show that the neural network approach for classification has some a...
分类结果表明，用神经网络方法进行分类具有分类稳定、结果可靠等特点。
For example, a simple approach to classification might keep track of the words associated with a label, as well as the number of times those words are seen for a given label.
举例来说，一种简单的分类方法可以跟踪与标签相关的词，以及这些词在某个标签中的出现次数。
You can leverage and extend this approach as a synchronization mechanism for maintaining the classification taxonomy in multiple systems, including WebSphere Service Registry and Repository.
你可以利用和扩展此方法，将其作为在多个系统中维护分类的同步机制，包括WebSphereServiceRegistry and Repository。
This paper presents design principle and realizable approach of Classification and Recognition Inference Decider for Soil Remote Sensing in arid land.
介绍了干旱区土壤遥感分类识别推理决策器的设计原理与实现方法。
This paper presents design principle and realizable approach of Classification and Recognition Inference Decider for Soil Remote Sensing (CRID) in arid land.
介绍了干旱区土壤遥感分类识别推理决策器的设计原理与实现方法。
In this paper a novel approach for image classification based on feature element is proposed.
本文提出了一种基于特征元素的图象分类方法。
This paper presents design principle and realizable approach for Inference Decider for Recognition of Soil Classification Remote Sensing(IDRS) in arid land.
介绍了干旱区土壤类型遥感识别推理决策器的设计原理与实现方法。
In order to optimize the design of MLP network structure for fault classification, an optimum approach based on fuzzy logic is presented.
为了优化用于故障分类的多层前馈网络结构配置，提出了一种基于模糊逻辑的优化方法。
Studying the combination of manual and machine learning classification, an classification approach for improving the precision based on "classification-use-adjustment is proposed".
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。
An approach for generating test cases from formal specification and the classification-tree method is presented.
介绍了一种基于形式规格说明和分类树方法生成软件测试用例的方法。
In this paper, an approach to research on soils classification is developed, and a recommendation is presented for the soils classification system in Foundation Design Code of China.
本文提出一种土分类的研究方法，并为我国地基基础设计规范的土分类系统给出了一些修改的建议。
Objective To discuss the classification and surgical procedure indication of acetabular fracture and further investigate the selection of operative approach for this trauma.
目的对髋臼骨折的分类、治疗、手术适应证及内固定方法的选择和操作要领进行研讨。
This approach exploits unlabeled data for efficient clustering, which is applied in the classification with support vector machine (SVM) in the case of small-size training samples.
该方法利用大量的未标识数据进行有效聚类，并将聚类结果用于小样本情形下的支持向量机分类。
A mean period based approach for fingerprint classification is presented. It computes the mean period of every fingerprint and sorts fingerprints according to their mean periods.
提出了一种基于指纹平均周期的分类方法，通过计算指纹的平均周期并按照平均周期将数据库中的指纹进行排序，该方法可有效地提高指纹的搜索速度。
Research are carried in the direction of developping an approach for the detection and classification of submerged elastic objects.
本文以检测和识别浅海中弹性目标物体为方向，展开了一些研究，取得了一些较有价值的结果。
Conclusion: the imaging anatomic classification of posterior ethmoid sinus has the instructive significance for basicranial surgery and the surgical approach via saddle area.
结论：后筛窦影像解部分型分度对前颅底外科及蝶鞍区手术具有实际的指导意义。
The proposed approach can generalize well on difficult image classification problems, especially, for images taken in different views.
本文提出的算法能够在较困难的图像分类问题上得到较好的结果，尤其是为不同角度拍摄的物体影像分类。
And the test result shows that the approach mentioned above has a high reliable precision, and it reclaims a new way for classification and recognition of soil in arid land.
结果表明，该方法分类精度可靠，为干旱区土壤分类识别开辟了一条新的途径。
For non-linear problem, the forecasting technique of pre-classification and later regression was proposed, based on the classification approach of Support Vector Machine (SVM).
针对非线性问题，提出了基于支持向量机分类基础的先分类、再回归的预测方法。
This paper proposes an approach for cancer molecular classification using support vector machines.
针对该类问题，论文提出了一种利用支持向量机进行肿瘤分类与判别的方法。
Experimental results show that the proposed approach works well for image classification and the average accuracy rate can reach 9774%.
实验结果表明，该方法在多类物体分类中达到9774%的总准确率，取到了非常好的效果。
Experimental results show that the proposed approach works well for image classification and the average accuracy rate can reach 9774%.
实验结果表明，该方法在多类物体分类中达到9774%的总准确率，取到了非常好的效果。
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