A HYBRIDIZATION OF FEEDFORWARD NEURAL NETWORK AND DIFFERENTIAL EVOLUTION TO FORECAST FERTILIZER CONSUMPTION EMPHASIZING ON SELECTING OPTIMAL ARCHITECTURE

A hybridization of feedforward neural network and differential evolution to forecast fertilizer consumption emphasizing on selecting optimal architecture

A fertilizer marketing or producing mabis dmi healthcare sector has played an important role in agricultural productivity and also food security around the world for many years.However, the demand of fertilizer consumption is uncertain and difficult to be forecasted by using simple approaches.Therefore, an accuracy of future demand concerning ferti

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Chemical speciation of Pb(II), Cd(II), Hg(II), Co(II), Ni(II), Cu(II) and Zn(II) binary complexes of l-methionine in 1,2-propanediol-water mixtures

Chemical speciation of Pb(II), Cd(II), Hg(II), Co(II), Ni(II), Cu(II) and Zn(II) complexes of L-methionine in 0.0-60 % v/v 1,2-propanediol-water mixtures maintaining an ionic strength of 0.16 ckf snafu 2.0 M at 303 K has been studied pH metrically.The active forms of ligand are LH2+, LH and L-.The predominant species detected are ML, MLH, ML2, ML2H

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