Principles and Analysis of Priority Ordered covered Neural Network

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (14): 64-65.

• 学术探讨 • Previous Articles Next Articles

Principles and Analysis of Priority Ordered covered Neural Network

Shijiao zhu

Received:2006-06-13 Revised:1900-01-01 Online:2007-05-10 Published:2007-05-10
Contact: Shijiao zhu

优先排序覆盖神经网络原理及分析

朱世交张南华王守觉

上海同济大学电子与信息工程学院同济大学计算机系北京912信箱中国科学院半导体研究所神经网络组

通讯作者: 朱世交

Abstract

Abstract: From the view-point of coverage in the high-dimension space (HDS), we discuss the theory of priority ordered Neural Network(PONN) and its meaning of the PONN in HDS. In the later chapter, we give a case of tow-dimension spiral line recognition based on PONN.

Key words: Priority Neural Network , Pattern recognition, Topology space

摘要： 本文从高维空间特征点覆盖的角度，讨论了优先度排序神经网络空间覆盖理论，从理论上阐明了运用神经网络构造方法实现空间特征覆盖的意义，最后给出了两维螺旋线识别的测试用例。

关键词: 优先排序网络模式识别拓扑空间

Shijiao zhu. Principles and Analysis of Priority Ordered covered Neural Network[J]. Computer Engineering and Applications, 2007, 43(14): 64-65.

朱世交张南华王守觉. 优先排序覆盖神经网络原理及分析[J]. 计算机工程与应用, 2007, 43(14): 64-65.

[1]	ZHANG Zhentong, SHAN Yugang, YUAN Jie. Remote Sensing Image Detection Algorithm Combining Multi-scale and Attention Mechanism [J]. Computer Engineering and Applications, 2021, 57(9): 212-216.
[2]	HOU Xuan, XUE Fei, CHEN Tao. UAV Target Detection on Quantum Multi-pattern Recognition Optimization Algorithm [J]. Computer Engineering and Applications, 2021, 57(7): 228-236.
[3]	LU Junjie, HUANG Jinquan, LU Feng. Likelihood K-means Clustering for Gas Path Failure Diagnostics of Turbofan Engine [J]. Computer Engineering and Applications, 2020, 56(9): 136-141.
[4]	JIANG Dongming, YANG Huogen. Unsupervised Community Detection Algorithm Integrating Graph Convolutional Network Model [J]. Computer Engineering and Applications, 2020, 56(20): 59-66.
[5]	SUI Xiuwu, NIU Jiabao, LI Haotian, QIAO Mingmin. Upper Limb sEMG Gesture Recognition Method Based on NMF-SVM Model [J]. Computer Engineering and Applications, 2020, 56(17): 161-166.
[6]	WANG Zhong, ZHANG Xueliang, LIU Yaqun, ZHOU Junyu, SHAN Dongsheng. Research on Face Gesture Recognition Based on EEG Sensor [J]. Computer Engineering and Applications, 2020, 56(12): 182-186.
[7]	XU Xiaolai, FANG Xiaoli. Image Segmentation Based on Intuitionistic Fuzzy Kernel c-Means Clustering Algorithms [J]. Computer Engineering and Applications, 2019, 55(17): 227-231.
[8]	MENG Biaolong, FU Qiaofeng, LIANG Shaohui. Minimal prime ideals and [α]-ideals in lattice implication algebras [J]. Computer Engineering and Applications, 2018, 54(16): 44-48.
[9]	WANG Zhongmin, ZHANG Yao, HENG Xia. Driving behavior recognition based on Sparse Filtering-Convolutional Neural Network [J]. Computer Engineering and Applications, 2018, 54(11): 128-132.
[10]	QIU Aikun, ZHU Jiagang. Multi-set canonical correlations analysis based on ensemble learning [J]. Computer Engineering and Applications, 2017, 53(6): 162-168.
[11]	WANG Xinying, JIANG Zhiwei, CHEN Haiqun, WANG Kaiquan. Study on pipeline leak diagnosis method based on SVM and DS theory [J]. Computer Engineering and Applications, 2016, 52(5): 262-265.
[12]	LIU Huan1，2, SHAO Weiyuan1, GUO Yuefei1. Research on captcha recognition with convolutional neural networks [J]. Computer Engineering and Applications, 2016, 52(18): 1-7.
[13]	LU Ming, LIU Lihui, WU Lianghong. Research on multi-kernel support vector data description method of classification [J]. Computer Engineering and Applications, 2016, 52(18): 68-73.
[14]	WU Bin1, LU Xiaolei2, YU Jianbo2. Research on online detection and self-adaption recognition of wafer defect patterns [J]. Computer Engineering and Applications, 2016, 52(17): 261-265.
[15]	LUO Jian, YANG Yingen, LEI Zhenchun. Weighted pairwise constraint metric learning in speaker recognition [J]. Computer Engineering and Applications, 2016, 52(11): 158-163.

Principles and Analysis of Priority Ordered covered Neural Network

优先排序覆盖神经网络原理及分析

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics