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

机译：利用分区空间划分的新型神经网络分类的新颖改进

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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：进一步分配分区空间（FDP）是一种用于神经网络分类的新技术。分区空间是用于在样本后对数据采样进行分类的空间，该样本被神经网络学习映射。将手动划分为几个部分以对样本进行分类的数据分区空间可以被视为传统神经网络分类中的线段。建议通过使用FDP可以提高神经网络分类的性能。此外，数据分区空间将被分成许多分区，其将自动附加到不同的类。实验结果表明，该方法具有良好的性能，特别是关于优化速度和分类样品的准确性。

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来源
《International Work-Conference on the Interplay Between Natural and Artificial Computation》|2007年||共10页
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作者
Lin Wang; Bo Yang; Zhenxiang Chen; Ajith Abraham; Lizhi Peng;
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正文语种
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;进一步分裂;

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专利

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机译：时间序列MAP分类的模块化神经网络和分区算法
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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

机译：用神经网络结合非线性工作空间分区来解决冗余机械手逆运动学问题的新颖算法
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(IWINAC 2007); 20070618-21; La Manga del Mar Menor(ES) . 2007

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。
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

机译：基于相空间重构欧氏距离和神经网络的前交叉韧带缺损和完整膝盖之间的步态模式建模和分类
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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