On the Use of Function Approximation Potential of Artificial Neural Networks for Predicting Elastic Moduli of Binary Oxide Glass Systems

Dr.R.Sheelarani; Dr. K.T. Arulmozhi

Volume : III, Issue : II, February - 2014

On the Use of Function Approximation Potential of Artificial Neural Networks for Predicting Elastic Moduli of Binary Oxide Glass Systems

Dr. R. Sheelarani, Dr. K. T. Arulmozhi

Abstract :

Fresh flowers of Grevillea robusta, of Proteaceae has been collected from the slopes of the hills of Yelagiri, in Dharmapuri district. Kaempferol-5-O-β-glucoside a rare flavonol glycoside has been isolated from the fresh flowers of Grevillea robusta. The structure of which has been characterized by means of modern physical methods like UV, H-1 NMR, C-13 NMR, chromatographic techniques, chemical reactions and hydrolytic studies.