Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory - A case study involving a real wireless sensor network deployment in Brazil.
Gustavo FurquimGustavo PessinBruno S. FaiçalEduardo M. MendiondoJó UeyamaPublished in: Neural Comput. Appl. (2016)
Keyphrases
- chaos theory
- machine learning
- forecasting model
- wireless sensor networks
- rainfall runoff
- prediction accuracy
- forecasting accuracy
- error rate
- data sets
- stock index futures
- active learning
- artificial intelligence
- generalization ability
- bp neural network
- energy consumption
- neural network
- data mining
- short term
- decision making
- long term
- optical flow
- artificial neural networks
- decision trees