AG  >> Vol. 3 No. 3 (June 2013)

    Research Status and Prospect of Automated Fossil Identification Technology

  • 全文下载: PDF(204KB) HTML    PP.159-164   DOI: 10.12677/AG.2013.33023  
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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

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



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.

夏菁, 白志强, 王宝鹏, 吴一超, 常洁琼. 化石自动鉴定技术研究现状与展望[J]. 地球科学前沿, 2013, 3(3): 159-164.