Academic Journal of Computing & Information Science, 2023, 6(6); doi: 10.25236/AJCIS.2023.060623.
Fanyu Jing, Qianhui Yuan, Yinuo Zhang
School of Media, Qufu Normal University, Rizhao, China, 276827
Balancing wildlife survival and human economic life is of great significance to Kenya's wildlife reserves. In this paper, Adaboost algorithm is used to obtain the correlation between tourism planning, wildlife species, unemployment rate and people's income on people's economic growth and the importance of each factor. Based on the model of multi-weight TOPSIS algorithm, it is known that in the off-season of tourism, the optimal strategy is to establish more nature reserves, while in the peak season of tourism, the optimal strategy is to vigorously develop tourism. Finally, using the BP neural network model to classify the off-season and peak seasons of tourism, the predicted economic impact is $ 429 per passenger and $ 696 per passenger.
Adaboost Algorithm, Multi-weight TOPSIS Algorithm, Masai Mara Nature Reserve
Fanyu Jing, Qianhui Yuan, Yinuo Zhang. Nature conservation planning model of Masai Mara based on Genetic algorithm optimization neural network. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 6: 145-150. https://doi.org/10.25236/AJCIS.2023.060623.
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