Experimental Evaluation and Development of Artificial Neural Network Model for the Solar Stills Augmented with the Permanent Magnet and Sandbag

The availability of potable water is reducing day by due to rapid growth in the human population and un-planned industrialization around globe. Although beings cannot think survival absence water, global leadership can still not implement their pacts reality. Solar one prominent ways getting from contaminated water. This manuscript reports experimental evaluation developed ANN model for single basin solar stills having augmentations with sand-filled cotton bags ferrite ring permanent magnets. Root mean square error (RMSE), efficiency coefficient (E), overall index performance (OI), residual mass (CRM) values are good agreement proposed ANN. be utilized predict distillate yield a variation 5% reported modified stills. Overall correlation CSS, MSS-1&2 0.98171, 0.9867, 0.99542, respectively.