Dynamic Mechanical Spectra of Selected Turkish Honeys: Construction of Predictive Models for Complex Viscosity Using Two Different Nonlinear Modeling Techniques

摘要: Dynamic oscillatory shear rheological characteristics of honey samples from different floral sources were evaluated using frequency sweep test and stress at three temperatures (10, 15, 20°C). All showed liquid-like behavior because the loss modulus was significantly greater than elastic modulus. Pine highest complex viscosity (86.33 Pa s 10°C), while lowest observed in citrus (22.15 s) same temperature. Temperature dependency modeled by Arrhenius model activation energy values honeys ranged 83.13 to 97.46 kJ/mol. An efficient predictive for constructed adaptive neuro fuzzy inference system that satisfactory prediction performance with high coefficient determination (0.995) low root mean square error (0.04) validation period compared artificial neural networks.