CTGMDH is a novel modeling method in the recent years.Its ideas originated from the theory of evolution and natural selection.When modeling by GMDH,the first problem we confronted is how to choose a rational criterion which is able to find the correct model structure of a system under the circumstances of noise data,that is the problem of noise immunity of criteria. In this article,we researched this problem and put forward some theory and methods with respect to this problem,under the circumstances of finite and infinite sample,respectively. The result of our research is benefit to the complex system modeling with noise data.
Liu Guang
, zhong Wang Rui. , {{custom_author.name_en}}.
Noise Immunity of Croup Method of Data Handling(GMDH). Systems Engineering - Theory & Practice, 1995, 15(11): 1-15 https://doi.org/10.12011/1000-6788(1995)11-1