Comparison of trial and error and genetic algorithm in neural network development for estimating Farinograph properties of wheat-flour dough

ABSTRACT

Background and Objectives: rheological characteristics of dough are important for achieving useful information about raw-material quality, dough behavior during mechanical handling, and textural characteristics of products. Our purpose in the present research is to apply soft computation tools for predicting the rheological properties of dough out of simple measurable factors