چکیده مقاله
Structural topology optimization procedures aim at specifying the best distribution of materials in space so that the functional properties of structures to be optimum However, successful application of these approaches is highly dependent on the experience of the user in setting initial optimization parameters The process of finding optimization parameters is a time taking process and computationally costly In this paper the ANN has been used for setting topology optimization parameters for material design In particular the interest is to predict the level of isotropy of materials using artificial neural network ANN The ANN training with back propagation has been used Fitted model profile and ANN interaction prediction model has been presented
کلیدواژهها
نویسندگان
Arash Radman
Guilan University, Guilan, Iran;
شیوه ارجاع
Radman, Arash,1398,Artificial Neural Network in Setting Topology Optimization Parameters,3rd International Conference on Soft Computing,Rudsar
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی محاسبات نرم29 آبان 1398 · رودسر