PARALLEL-HIERARCHICAL NETWORK LEARNING METHODS AND THEIR APPLICATION TO PATTERN RECOGNITION

L. I. Timchenko; V. V. Melnikov; N. I. Kokryatskaya

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PARALLEL-HIERARCHICAL NETWORK LEARNING METHODS AND THEIR APPLICATION TO PATTERN RECOGNITION

机译：并行-层次网络学习方法及其在模式识别中的应用

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This paper considers provisions necessary for developing parallel-hierarchical network learning methods underlain by the idea of population coding in an artificial neural network and its approximation to natural neural networks. Mathematical parallel-hierarchical network learning models and a combined parallel-hierarchical network learning method are developed for recognizing static and dynamic patterns.

机译：本文考虑了在人工神经网络中人口编码及其与自然神经网络的近似思想基础上开发并行层次网络学习方法所必需的规定。为了识别静态和动态模式，开发了数学并行层次网络学习模型和组合的并行层次网络学习方法。

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来源
《Cybernetics and Systems Analysis》 |2011年第6期|p.986-994|共9页
作者
L. I. Timchenko; V. V. Melnikov; N. I. Kokryatskaya;
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作者单位

State Economic-Technological Transport University, Kyiv, Ukraine;

State Economic-Technological Transport University, Kyiv, Ukraine;

Vinnytsya National Technical University, Vinnytsya, Ukraine;

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收录信息美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
parallel-hierarchical network; learning; image; laser path; human face;

机译：并行层次网络;学习;图片;激光路径人脸;

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1. A METHOD OF ORGANIZATION OF A PARALLEL-HIERARCHICAL NETWORK FOR IMAGE RECOGNITION [J] . L. I. Timchenko, V. V. Melnikov, N. I. Kokryatskaya, Cybernetics and Systems Analysis . 2011,第1期

机译：一种用于图像识别的并行层次网络的组织方法
2. An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition [J] . Wang Zirui, Wang Jun, Wang Youren Neurocomputing . 2018,第OCTa8期

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3. P-CC-NN: PARALLEL CASCADE CORRELATION NEURAL NETWORK METHODS FOR PATTERN RECOGNITION APPLICATIONS USING MULTICORE TECHNIQUES [J] . KHALID MOHAMMAD JABER, SOKYNA M. ALQATAWNEH Journal of Theoretical and Applied Information Technology . 2016,第1期

机译：P-CC-NN：使用多核技术的模式识别应用的并行级联关联神经网络方法
4. Approach to parallel-hierarchical network learning for real-time image sequence recognition [C] . Author(s): Leonid I. Timchenko Vinnitsa State Technical Univ. Vinnitsa Ukraine, Yuri F. Kutaev State Scientific Enterprise Astrophysica Moscow Russia, Alexander A. Gertsiy Vinnitsa State Technical Univ. Vinnitsa Ukraine, Conference on machine vision systems for inspection and metrology . 1999

机译：并行层次网络学习的实时图像序列识别方法
5. Kernel methods for statistical learning in computer vision and pattern recognition applications. [D] . Mohamed, Refaat Mokhtar. 2005

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6. Analysis of Forming Limits in Sheet Metal Forming with Pattern Recognition Methods. Part 2: Unsupervised Methodology and Application [O] . Christian Jaremenko, Emanuela Affronti, Andreas Maier, 2018

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7. Method of Parallel-Hierarchical Network Self-Training and its Application for Pattern Classification and Recognition [O] . TIMCHENKO, L., KOKRIATSKAIA, N., MELNIKOV, V., 2012

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8. Recognition of subsurface defects in machined ceramics by application of neural networks to laser scatter patterns [R] . Stinson, M. C. , Lee, O. W. , Steckenrider, J. S. , 1994

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PARALLEL-HIERARCHICAL NETWORK LEARNING METHODS AND THEIR APPLICATION TO PATTERN RECOGNITION

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