戏法 发表于 2025-3-25 06:36:00

Funktion und Ablauf des Zwischenverfahrensnking to EPANET simulation is utilized to trade off the two optimization objectives. A medium size of water distribution network is employed for demonstrating the validity of proposed model and methodology.

CUMB 发表于 2025-3-25 09:59:40

http://reply.papertrans.cn/24/2325/232428/232428_22.png

Provenance 发表于 2025-3-25 12:30:00

http://reply.papertrans.cn/24/2325/232428/232428_23.png

易达到 发表于 2025-3-25 18:00:26

http://reply.papertrans.cn/24/2325/232428/232428_24.png

obviate 发表于 2025-3-25 21:47:07

Durchführung des Ermittlungsverfahrensunctions and solves the weighted least squares problem to reconstruct the spectral reflectance. Experiment results show that our approach has better recovery precision and generalization performance than both the global kernel methods and the local linear methods.

尖牙 发表于 2025-3-26 00:52:17

http://reply.papertrans.cn/24/2325/232428/232428_26.png

circumvent 发表于 2025-3-26 04:34:36

http://reply.papertrans.cn/24/2325/232428/232428_27.png

Implicit 发表于 2025-3-26 12:04:06

http://reply.papertrans.cn/24/2325/232428/232428_28.png

zonules 发表于 2025-3-26 15:39:32

https://doi.org/10.1007/978-3-642-38414-1 forms, are used. Historical data in Turkey from 1979 to 2005 is utilized for training and testing these models. Experimental results show that our approach achieves better relative estimation errors than two other existing algorithms, ant colony (ACO) and particle swarm optimization (PSO).

figment 发表于 2025-3-26 17:20:08

Traffic Condition Assessment Based on Support Vectors Machine Using Intelligent Transportation Systeetween the prediction results and another two variables, namely BP neural system and Response Surface Methodology, or say RSM which is known as a traditional means in statistics. According to the result, the SVM model is superior to BP neural system and RSM model as to the aspects of MAPE and the RMSE.
页: 1 2 [3] 4 5 6
查看完整版本: Titlebook: Computational Intelligence and Intelligent Systems; 9th International Sy Kangshun Li,Wei Li,Yong Liu Conference proceedings 2018 Springer N