Abstract
Pollution forecast is a pioneering task and considered as a preliminary action taken by city planners as it can exactly locate the location of industrial plants and other development centers. Along with that on the basis of pollution profile, major decisions can be taken for controlling and combating it. Keeping this fact in mind, we propose a supervised structure of Feed-Forward Neural Network for predicting PM10 concentration in Jaipur city. For training the net, we employ our recently proposed algorithm based on the intelligent behavior of crow named as Intelligent Crow Search Algorithm (ICSA). It is observed that the developed ICSA yields better results when tested on the unknown samples. Comparative analysis of ICSA-based networks has been carried out with other contemporary nature-inspired algorithm tuned networks.
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