Abstract
Using the second development tooling of NX/KF, joining the KBE system and back-propagation neural network (BPNN) algorithm, it can access the volume, weight, feature number and input the related parameters (contacting relationship number and total penalty value), predict the feasible assembly sequence, reduce assembly working time and production cost.
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