Predictability of relative humidity by two artificial intelligence techniques using noisy data from two Californian gauging stations.
Rahman KhatibiLeila NaghipourMohammad Ali GhorbaniMohammad Taghi AalamiPublished in: Neural Comput. Appl. (2013)
Keyphrases
- noisy data
- relative humidity
- solar radiation
- meteorological data
- air temperature
- wind speed
- noise tolerant
- missing data
- noise free
- artificial neural networks
- high dimensional
- missing values
- training data
- long term
- input data
- learning from noisy data
- intrinsic dimensionality
- high dimensionality
- database
- computer vision
- regression model
- data analysis