在无噪声限制下拟合数据的映射的动力学特性。

a Department of Mathematics , Linnaeus University , S-35195 Växjö , Sweden.

J Biol Dyn. 2013;7 Suppl 1(Suppl 1):108-16. doi: 10.1080/17513758.2013.804127. Epub 2013 Jun 14.

We argue that any attempt to classify dynamical properties from nonlinear finite time-series data requires a mechanistic model fitting the data better than piecewise linear models according to standard model selection criteria. Such a procedure seems necessary but still not sufficient.

我们认为，任何尝试从非线性有限时间序列数据中分类动力学性质的方法都需要根据标准模型选择标准，拟合数据比分段线性模型更好的机械模型。这样的程序似乎是必要的，但仍然不够。