基于遗传规划的pedotransfer函数开发
pyPTF的Python项目详细描述
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这是一个使用遗传编程开发pedotransfer functions的框架。
pedtransfer函数是一种基于其他更易于测量的土壤性质的土壤性质预测模型。传统上,pedotransfer函数被表示为表达式(公式),这就是为什么symbolic regression是开发它们的一个很好的替代方法。
如果没有伟大的glplearn库(它实现了符号回归),这个项目就不可能实现。用特雷弗的话说:
Symbolic regression is a machine learning technique that aims to identify an underlying mathematical expression that best describes a relationship. It begins by building a population of naive random formulas to represent a relationship between known independent variables and their dependent variable targets in order to predict new data. Each successive generation of programs is then evolved from the one that came before it by selecting the fittest individuals from the population to undergo genetic operations.
不确定度
自然系统是复杂的,每一个试图表示它们的模型都有不确定性。这个库实现了一个基于fuzzy clustering表示和报告这种不确定性的方法。