Publisher
Springer International Publishing
Reference36 articles.
1. Ahmed, K., Ewees, A. A., Hassanien, A. E. (2017). Prediction and management system for forest fires based on hybrid flower pollination optimization algorithm and adaptive neuro-fuzzy inference system. In Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) Proceedings, Cairo (pp. 305–310).
2. Aissa, B. C., & Fatima, C. (2015). Adaptive neuro-fuzzy control for trajectory tracking of a wheeled mobile robot. In 4th International Conference on Electrical Engineering (ICEE), Boumerdes (pp. 1–4).
3. Aqil, M., Kita, I., Yano, A., & Nishiyama, S. (2006). Prediction of flood abnormalities for improved public safety using a modified adaptive neuro-fuzzy inference system. Water Science and Technology, 54(11–12), 11–19.
4. Boyacioglu, M. A., & Avci, D. (2010). An adaptive network-based fuzzy inference system (ANFIS) for the prediction of stock market return: The case of the Istanbul stock exchange. Expert Systems with Applications, 37, 7908–7912.
5. Bui, D. T., Bui, Q.-T., Nguyen, Q.-P., Pradhan, B., Nampak, H., & Trinh, P. T. (2017). A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area. Agricultural and Forest Meteorology, 233, 32–44.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献