Reservoir Inflow Forecasting Using Differential Evolution Trained Neural Networks

Oluwaseun Oyebode; Josiah Adeyemo

doi:10.1007/978-3-319-07494-8_21

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Reservoir Inflow Forecasting Using Differential Evolution Trained Neural Networks

Oluwaseun Oyebode Josiah Adeyemo

Year: 2014 Advances in intelligent systems and computing Pages: 307-319 Publisher: Springer Nature

DOI: 10.1007/978-3-319-07494-8_21

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Keywords:

Inflow Differential evolution Artificial neural network Computer science Generalization Mean absolute percentage error Computation Precipitation Artificial intelligence Machine learning Data mining Algorithm Mathematics Geography Meteorology

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Hydrological Forecasting Using AI

Physical Sciences → Environmental Science → Environmental Engineering

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Hydrology and Watershed Management Studies

Physical Sciences → Environmental Science → Water Science and Technology

Reservoir Inflow Forecasting Using Differential Evolution Trained Neural Networks

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