Uso de redes neurais recorrentes na determinação das constantes de acidez para a 7-epiclusianona em misturas etanol-água

Química Nova

Éderson D' Martin Costa²  Nelson Henrique Teixeira Lemes²  Marcelo Henrique Dos Santos¹  João Pedro Braga¹ 

[1] ,Universidade Federal de Alfenas Instituto de Ciências Exatas Alfenas MG ,Brasil

关键词: inverse problem;    acidity constants;    dynamical optimization;   

DOI  :  10.1590/S0100-40422012000100017

来源: SciELO

【 摘 要 】

This work propose a recursive neural network to solve inverse equilibrium problem. The acidity constants of 7-epiclusianone in ethanol-water binary mixtures were determined from multiwavelength spectrophotmetric data. A linear relationship between acidity constants and the %w/v of ethanol in the solvent mixture was observed. The proposed method efficiency is compared with the Simplex method, commonly used in nonlinear optimization techniques. The neural network method is simple, numerically stable and has a broad range of applicability.

【 授权许可】

CC BY-NC   
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