Genetic Programming Bibliography entries for Yu-zhong Peng

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GP coauthors/coeditors: Hongyan Li, Chuyan Deng, Yonghua Pan, Daoqing Gong, Hao Zhang, Jie Li, Chang-an Yuan, Baoqin Hu, Xiao Qin, Jiangtao Huang, YaBing Shi, Huasheng Zhao, Wenwei Li, Jianping Liao, Zhiping Liu, HongYa Li, Li Cai, Yanmei Lin, Yiran Huang, Ying Li, Guangsheng Luo, Hongguo Cai, Sheng Wang, Jinjiao Lian, Baoqing Hu, Hongsong Chen,

Genetic Programming Articles by Yu-zhong Peng

1. Yuzhong Peng and Daoqing Gong and Chuyan Deng and Hongya Li and Hongguo Cai and Hao Zhang. An automatic hyperparameter optimization DNN model for precipitation prediction. Applied Intelligence, 52:2703-2719, 2022. details

2. Yu Zhong Peng and Yanmei Lin and Yiran Huang and Ying Li and Guangsheng Luo and Jianping Liao. GEP-EpiSeeker: a gene expression programming-based method for epistatic interaction detection in genome-wide association studies. BMC Genomics, 22(Supplement 1):Article number: 910, 2021. details

3. Yuzhong Peng and Huasheng Zhao and Hao Zhang and Wenwei Li and Xiao Qin and Jianping Liao and Zhiping Liu and Jie Li. An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction. Int. J. Comput. Intell. Syst, 12(2):1512-1525, 2019. details

4. Sheng Wang and Jinjiao Lian and Yuzhong Peng and Baoqing Hu and Hongsong Chen. Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China. Agricultural Water Management, 221:220-230, 2019. details

5. Yu-zhong Peng and Jie Li and Chang'an Yuan and Baoqin Hu. Parameter Estimation Algorithm for Storm Intensity Model with Single Return Period Based on Multicellular Gene Expression Programming. Journal of Computers, 9(9):2132-2138, 2014. details

6. YuZhong Peng and ChangAn Yuan and Xiao Qin and JiangTao Huang and YaBing Shi. An improved Gene Expression Programming approach for symbolic regression problems. Neurocomputing, 137:293-301, 2014. Advanced Intelligent Computing Theories and Methodologies. details

Genetic Programming conference papers by Yu-zhong Peng

• Yu-zhong Peng and ChuYan Deng and HongYa Li and DaoQing Gong and Xiao Qin and Li Cai. Precipitation Modeling and Prediction Based on Fuzzy-Control Multi-cellular Gene Expression Programming and Wavelet Transform. In De-Shuang Huang and Kang-Hyun Jo and Zhi-Kai Huang editors, Intelligent Computing Theories and Application - 15th International Conference, ICIC 2019, Part II, volume 11644, pages 81-92, Nanchang, China, 2019. Springer. details

• Hongyan Li and Yuzhong Peng and Chuyan Deng and Yonghua Pan and Daoqing Gong and Hao Zhang. Multicellular Gene Expression Programming-Based Hybrid Model for Precipitation Prediction Coupled with EMD. In De-Shuang Huang and Vitoantonio Bevilacqua and Prashan Premaratne and Phalguni Gupta editors, Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part I, volume 10954, pages 207-218, 2018. Springer. details

Genetic Programming other entries for Yu-zhong Peng

• Hongyan Li and Yuzhong Peng and Chuyan Deng and Yonghua Pan and Daoqing Gong and Hao Zhang. A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming. 2019. details