A Novel Model for Air Quality Prediction using Soft Computing Techniques
نویسنده
چکیده
The proliferation of urbanization and industrialization cause’s immense fluctuations in air quality due to pollution.The air pollution can be minimized effectively by defensive measures through the efficient air pollution/quality prediction techniques. The existing air quality prediction models are tedious and time consuming.Soft Computing paradigm hasemerged out to be more flexible, less assumption dependent and adaptive methodology. Hence this paper proposes a hybrid model through soft computing techniques for air quality prediction.
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