{"title":"演化差分方程模拟淡水浮游植物","authors":"P. Whigham, F. Recknagel","doi":"10.1109/CEC.2000.870748","DOIUrl":null,"url":null,"abstract":"The underlying dynamics of algal species in freshwater systems are a complex non-linear problem. Process-based models have been previously developed to describe the time varying behaviour of chlorophyll-a, a measure of algal concentration, for these systems. This paper describes the application of a genetic programming equation discovery system to study various generalisations of a process-based model based on a time series difference equation.","PeriodicalId":218136,"journal":{"name":"Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Evolving difference equations to model freshwater phytoplankton\",\"authors\":\"P. Whigham, F. Recknagel\",\"doi\":\"10.1109/CEC.2000.870748\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The underlying dynamics of algal species in freshwater systems are a complex non-linear problem. Process-based models have been previously developed to describe the time varying behaviour of chlorophyll-a, a measure of algal concentration, for these systems. This paper describes the application of a genetic programming equation discovery system to study various generalisations of a process-based model based on a time series difference equation.\",\"PeriodicalId\":218136,\"journal\":{\"name\":\"Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)\",\"volume\":\"134 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEC.2000.870748\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2000.870748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evolving difference equations to model freshwater phytoplankton
The underlying dynamics of algal species in freshwater systems are a complex non-linear problem. Process-based models have been previously developed to describe the time varying behaviour of chlorophyll-a, a measure of algal concentration, for these systems. This paper describes the application of a genetic programming equation discovery system to study various generalisations of a process-based model based on a time series difference equation.
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