| 磨粒识别神经网络专家系统的设计与实现 |
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| 引用本文： | 陈学峰,梁培钧.磨粒识别神经网络专家系统的设计与实现[J].舰船电子工程,2009,29(1):129-131. |
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| 作者姓名： | 陈学峰 梁培钧 |
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| 作者单位： | 92493部队89分队,葫芦岛,125001 |
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| 摘 要： | 智能型磨粒识别是铁谱技术发展的主要趋势，人工神经网络技术的出现为这种智能化提供了一条崭新的途径。介绍神经网络专家系统的基本原理，叙述BP学习算法，设计基于该算法的磨粒识别神经网络专家系统，并予以实现。
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| 关 键 词： | 铁谱技术 磨粒识别 神经网络 人工智能 |
Design and Development of Neural Network-based Expert System for Wear Particle Recongnition |
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| Chen Xuefeng,Liang Peijun.Design and Development of Neural Network-based Expert System for Wear Particle Recongnition[J].Ship Electronic Engineering,2009,29(1):129-131. |
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| Authors: | Chen Xuefeng Liang Peijun |
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| Institution: | Unite 89;No.92493 Troops of PLA;Huludao125001 |
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| Abstract: | Artificial neural networks provides a promising approach to the intellectualization of wear particle recognition.This paper describes both the basic principle of expert systems based on neural networks and Back Propagation(BP) algorithm,and develops an expert system for wear particle recognition based on BP neural network. |
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| Keywords: | ferrography wear particle recognition neural network artificial intelligence |
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