| 基于BP神经网络的磨粒特征识别系统设计 |
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| 引用本文： | 梁培钧,李学俭. 基于BP神经网络的磨粒特征识别系统设计[J]. 机械工程与自动化, 2011, 0(1) |
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| 作者姓名： | 梁培钧 李学俭 |
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| 作者单位： | 1. 92493部队89分队,辽宁,葫芦岛,125000
2. 92493部队84分队,辽宁,葫芦岛,125000 |
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| 摘 要： | 提高铁谱磨粒识别能力是加强铁谱分析技术的重要手段,神经网络技术的不断普及为铁谱磨粒识别能力的提高带来了新的思路。对神经网络系统的基本原理和BP学习算法进行了叙述,并探讨了基于BP算法的磨粒特征识别系统的设计。
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| 关 键 词： | 铁谱技术 磨粒识别 神经网络 人工智能 |
Design of Wear Particle Recognition System Based on BP Neural Networks |
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| LIANG Pei-jun,LI Xue-jian. Design of Wear Particle Recognition System Based on BP Neural Networks[J]. Mechanical Engineering & Automation, 2011, 0(1) |
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| Authors: | LIANG Pei-jun LI Xue-jian |
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| Affiliation: | LIANG Pei-jun1,LI Xue-jian2(1.Unite 89,No.92493 Troops of PLA,Huludao 125000,China,2.Unite 84,China) |
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| Abstract: | The most important technology in ferrography analysis is the wear particle recognition.Artificial neural networks provide a promising approach to the intellectualization of wear particle recognition.This paper describes both the basic principle of neural networks and back propagation(BP) algorithms,and discusses the design of a wear particle recognition system based on BP neural networks. |
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| Keywords: | ferrography wear particle recognition neural networks artificial intelligence |
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