A Novel Improvement of Neural Network Classification Using Further Division of Partition Space

机译：利用划分空间进一步划分的神经网络分类的一种新改进。

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Further Division of Partition Space (FDPS) is a novel technique for neural network classification. Partition space is a space that is used to categorize data sample after sample, which are mapped by neural network learning. The data partition space, which are divided manually into few parts to categorize samples, can be considered as a line segment in the traditional neural network classification. It is proposed that the performance of neural network classification could be improved by using FDPS. In addition, the data partition space are to be divided into many partitions, which will attach to different classes automatically. Experiment results have shown that this method has favorable performance especially with respect to the optimization speed and the accuracy of classified samples.

机译：分区空间的进一步划分（FDPS）是一种用于神经网络分类的新技术。分区空间是用于对样本之间的数据样本进行分类的空间，这些空间通过神经网络学习进行映射。在传统的神经网络分类中，可以将数据划分空间手动分为几个部分以对样本进行分类，可以将其视为线段。提出使用FDPS可以提高神经网络分类的性能。此外，数据分区空间将被分为许多分区，这些分区将自动附加到不同的类。实验结果表明，该方法在优化速度和分类样本的准确性方面具有良好的性能。

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来源
《International Work-Conference on the Interplay Between Natural and Artificial Computation(IWINAC 2007); 20070618-21; La Manga del Mar Menor(ES)》|2007年|P.214-223|共10页
会议地点 La Manga del Mar Menor(ES)
作者
Lin Wang; Bo Yang; Zhenxiang Chen; Ajith Abraham; Lizhi Peng;
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作者单位

School of Information Science and Engineering, University of Jinan, Jinan, China;

Centre for Quantifiable Quality of Service in Communication Systems, Norwegian University of Science and Technology, Norway;

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原文格式 PDF
正文语种 eng
中图分类生命科学总论;
关键词
classification; neural network; partition space; further division;

机译：分类;神经网络;分区空间;进一步划分;

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1. Modular neural networks for MAP classification of time series and the partition algorithm [J] . Petridis V., Kehagias A. IEEE Transactions on Neural Networks . 1996,第1期

机译：时间序列MAP分类的模块化神经网络和分区算法
2. Feature selection by separability assessment of input spaces for transient stability classification based on neural networks [J] . S.K. Tso, X.P. Gu International Journal of Electrical Power & Energy Systems . 2004,第3期

机译：基于神经网络的暂态稳定性分类的输入空间可分性特征选择
3. A novel algorithm by combining nonlinear workspace partition with neural networks for solving the inverse kinematics problem of redundant manipulators [J] . Dong Hui, Li Chen, Wu Wentao, Mechanical Sciences . 2021,第1期

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4. A Novel Improvement of Neural Network Classification Using Further Division of Partition Space [C] . Lin Wang, Bo Yang, Zhenxiang Chen, International Work-Conference on the Interplay Between Natural and Artificial Computation . 2007

机译：利用分区空间划分的新型神经网络分类的新颖改进
5. Improvements in identification and classification of nuclear material using synchronized muon and neutron detectors and artificial neural networks [D] . Davis, Andrew S. 2016

机译：使用同步μ子和中子探测器和人工神经网络的核材料识别和分类的改进
6. Modeling and classification of gait patterns between anterior cruciate ligament deficient and intact knees based on phase space reconstruction Euclidean distance and neural networks [O] . Wenbao Wu, Wei Zeng, Limin Ma, 2018

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7. A Novel Improvement of Neural Network Classification Using Further Division of Partition Space [O] . Lin Wang, Zhenxiang Chen, Lizhi Peng 2008

机译：分区空间进一步划分的神经网络分类新改进

A Novel Improvement of Neural Network Classification Using Further Division of Partition Space

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