The Neural Network-Based Forecasting in Environmental Systems
نویسندگان
چکیده
The forecasting problem is one of the main environmental problems that need efficient software tools. More concrete, it can mean meteorological/weather forecasting, air/soil/water pollution forecasting, flood forecasting and so on. Several methods based on artificial intelligence were proposed by taken into account that they can offer more informed methods that use domain specific knowledge, and provide solutions faster than the traditional methods, those based on a mathematical formalism. In this paper we present the application of neural network-based forecasting methods, as well as their combination with fuzzy logic in air pollution forecast and flood forecast in a hydrographic basin. The neuro-fuzzy based forecasting can be integrated in a more complex real time monitoring, analysis, and control system for environmental pollution or hydrological processes. Key-Words: Artificial Neural Network, Fuzzy Logic, Air Pollution Forecast, Flood Forecast, Hydrographic Basin
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