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    Forecasting Air Quality Index Using an Ensemble of Artificial Neural Networks and Regression Models
    with Pachaiyappan Arulmozhivarman and Rao Tatavarti
    Journal of Intelligent Systems 28 (5): 893-903. 2019.
    Air is the most essential constituent for the sustenance of life on earth. The air we inhale has a tremendous impact on our health and well-being. Hence, it is always advisable to monitor the quality of air in our environment. To forecast the air quality index, artificial neural networks trained with conjugate gradient descent, such as multilayer perceptron, cascade forward neural network, Elman neural network, radial basis function neural network, and nonlinear autoregressive model with exogeno…Read more