Author(s)

Hailong Sun ¹

Affiliation(s)

¹ Huazhong Agricultural University, Wuhan, Hubei, 430000, China

Corresponding Author

Hailong Sun

ABSTRACT

For Saihanba forest farm, 19 indexes are selected and divided into three levels: pressure, state and response. The data dimension is deduced by curve projection pursuit model, and the environment change is analyzed by accelerated genetic algorithm. Then input the data into the model, and finally get the ecological environment score 1. 3945 in 1980 and 1 in 2001. 6475 2020. This shows that the environmental conditions have been significantly improved after the establishment of Saihanba.

KEYWORDS

Saihanba Forest Farm, Index system, Genetic algorithm

CITE THIS PAPER

Hailong Sun, Study on Influencing Factor Index of Saihanba Forest Farm Based on Genetic Algorithm. Environment, Resource and Ecology Journal (2022) Vol. 6: 85-89. DOI: http://dx.doi.org/10.23977/erej.2022.060114.

REFERENCES

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