地球科学前沿

Vol.3 No.3 (June 2013)

化石自动鉴定技术研究现状与展望
Research Status and Prospect of Automated Fossil Identification Technology

 

作者:

夏 菁 , 白志强 , 王宝鹏 , 吴一超 , 常洁琼 :北京大学地球与空间科学学院

 

关键词:

化石自动鉴定专家系统多元统计分析人工神经网络Fossil Automated Identification Expert System Multivariate Statistical Analysis Artificial Neural Network

 

摘要:

随着古生物学研究的深入与快速发展,传统化石鉴定方法效率低下、费时费力,已不能满足人们的需要。目前采用的化石自动鉴定技术主要有专家系统、多元统计分析和人工神经网络。近年来,随着计算机技术的发展,多元统计分析和人工神经网络已渐渐成为主流。二者的结合将是未来化石自动鉴定系统研发的必然趋势。

The traditional identification method of fossils has always been tedious, inefficient, time-consuming and laborious. It cannot satisfy the needs of fast and further development of paleontological studies already. At present, there are three kinds of automation technologies used to identify fossils including expert system, multivariate statistical analysis and artificial neural network. With recent advancements in digital cameras and computer vision, multivariate statistical analysis and artificial neural network have become more and more popular and important. The combination of them will be an inevitable trend in the field of automated fossil identification systems in the future.

文章引用:

夏 菁 , 白志强 , 王宝鹏 , 吴一超 , 常洁琼 (2013) 化石自动鉴定技术研究现状与展望。 地球科学前沿, 3, 159-164. doi: 10.12677/AG.2013.33023

 

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