出版社：Korean Society of Environmental Health and Toxicology
摘要：Various methods for detecting changes in response behaviors of indicator specimens are presented for monitoring effects of toxic treatments. The movement palterns of individuals are quantitatively characterized by statistical (i.e.,ANOVA,multivariate analysis) and computational (ie fractal dimension,Fourier trans- form) methods. Extraction of information in complex behavioral data is further ilustrated by techniques in ecological informatics. Multi-Layer Perceptron and Self-Organizing Map are applied for detection and pattern- ing of response behaviors of indicator specimens. The recent techniques of W avelet analysis and line detection by Recurrent Self-Organizing Map are additionally discussed as an efficient tool for checking time -series move- ment data. Behavioral monitoring could be established as new methodology in integrative ecological assess- ment,flling the gap between large - scale (e.g. community structure) and small- scale (e.g. molecular response) measurements.
