Prediction of technological parameters of sheet metal bending in two stages using feed-forward neural networkŠenveter, Jernej (Avtor) Balič, Jože (Avtor) Ficko, Mirko (Avtor) Klančnik, Simon (Avtor) bending in two stagesintelligent systemneural networkprediction of the final bend angleThis paper describes sheet metal bending in two stages as well as predicting and testing of the final bend angle by means of a feed-forward neural network. The primary objective was to research the technological parameters of bending sheet metal in two stages and to develop an intelligent method that would enable the predicting of those technological parameters. The process of bending sheet metal in two stages is presented by demonstrating the various technological parameters and the test tool used to carry out tests and measurements. The results of the tests and measurements were of decisive guidance in the evaluation of individual technological parameters. Developed method for prediction of the final bend angle is based on a feed-forward neural network that receives signals at the input level. These signals then travel through the hidden level to the output level, where the responses to input signals are received. The input to the neural network is composed of data that affect the selection of the final bend angle. Only five different inputs are used for the total neural network. By choosing the desired final bend angle by means of the trained neural network, bending sheet metal in two stages is optimised and made more efficient.20162017-07-12 09:32:34Znanstveno delo66824sl