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Keyword: Air Pollution Prediction

An Interval Type-2 Fuzzy LSTM Algorithm for Modeling Environmental Time-Series Prediction

The statistical attributes of the non-stationary problems such as air quality and other natural phenomena frequently changed. Type-2 fuzzy logic is a robust and capable model to cope with high-order uncertainties associated with non-stationary time-dependent features. This research’s main objective is to present a novel Fuzzy Deep LSTM (IT2FLSTM) model to predict air quality for […]

An Interval Type-2 Fuzzy LSTM Algorithm for Modeling Environmental TimeSeries Prediction