Calculation of Natural Frequency of Brick Masonry minarets by Neural Network

The general goal of this research is to determine natural angular frequency of Brick Masonry minarets by artificial neural network with various supporting conditions.For the subject of neural network, training or learning algorithms are applied .The most famous of which is back propagation algorithm. This algorithm is a systematic method for training multi layer artificial neural network.Back propagation algorithm is based on gradient descant which means that it moves downward on the error declination and regulates the weights for the minimum error.In this research, the real frequency of Brick Masonry minarets is calculated first using ANSYS program and is defined as a goal function for neural network, so that all outputs of the network can be compared to this function and the error can be calculated. Then, a set of inputs including dimensions or specifications of arches are made using MATLAB program.After the determination of algorithm and quantification of the network, the phases of training and testing of the results are carried out and the output of the network is created. It is concluded that the performance of the neural network is optimum, and the errors are less than 8%, so the network trains in different manner. Furthermore the time of frequency calculations in neural network is less than real analysis time that calculated by ANSYS software, and its precision is acceptable(less than 14%).

کلیدواژه ها:

frequency ، artificial intelligence ، Brick Masonry minaret ، excitement function ، training function ، learning function.