Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions

作者：

Highlights：

• ANN falls into local minimum in complex river flow forecasting.

• CSA is used to optimize model parameters of ANN for the first time.

• Proposed method obtains satisfying results in two real-world cases.

摘要

•ANN falls into local minimum in complex river flow forecasting.•CSA is used to optimize model parameters of ANN for the first time.•Proposed method obtains satisfying results in two real-world cases.

论文关键词：Neural network,Artificial intelligence,Cooperative search algorithm,Hydrological prediction,Metaheuristic algorithm,Time series forecasting

论文评审过程：Received 2 September 2020, Revised 27 September 2020, Accepted 28 October 2020, Available online 1 November 2020, Version of Record 5 November 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106580