Computation of Viscosity of Alcohols Using Variable Zagreb Index
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چکیده
This chapter deals with computation of viscosity of 35 alcohols at 20C with the computational tools Multi-linear Regression (MLR) and Associative Neural Network(ASNN) . The four descriptors are used which are variable Zagreb index, Number of Hydroxyl Groups(NOH), Molecular Weight (MW) and Number of Carbon atoms (Nc). MLR is used to optimize the parameter(λ) in the variable Zagreb index by minimizing Standard error of estimate(SE) and maximizing correlation co-efficient(R 2 ). The final model is developed with four descriptors. For comparative study, the four descriptors involved in MLR analysis is applied to ASNN. Comparison of result reveals that ASNN computes very well compared with MLR.
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