Adaptive neural fuzzy inference system (ANFIS) to determine possible relation between bricks porosity and weight losing

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As in the architectural history, brick is still a common building material for building structures. This study offers a relation between the porosity of brick materials and their weight losing in acid treatment in order to evaluate brick features in restoration works sensitively. As for all matters, bricks get older with time by means of some causatives. Acids and acids derivatives may be the most important causatives for this phenomenon. In order to keep on the historical monuments in good conditions through the time, these monuments must be restored according to right architectural rules. With regard to the monuments built of brick material, there is no chance to take a piece from bricks to analyze in laboratory. For this study, the samples are obtained from some historical buildings of Anatolian heritage. These valuable data sets are evaluated by using adaptive neural fuzzy inference system to search a relation between the porosity of bricks and their weight losing in acidic conditions. In order to evaluate the results of tests, mean absolute error and leave one out cross validation methods were used to improve the reliability of the results. Leave one out cross validation result was obtained as 4.06 and mean absolute error 2,583. © 2011 Academic Journals.


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Acid erosion, Adaptive neural fuzzy inference system (ANFIS), Historical bricks, Porosity, Restoration, Selçuk brick


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