Research on the time prediction model of product variant design

It is difficult to forecast product variant design time before product secondary development. A variant design time prediction model based on the combination of the chaos particle swarm optimization (CPSO) and fuzzy neural network (FNN) is proposed for estimating the variant time. Firstly, the time factor set is designated and the corresponding FNN time prediction model is established. However, the typical algorithm of FNN is easy to fall into local minimum, slow convergence and low learning efficiency. So, Secondly the FNN model is optimized by CPSO to overcome disadvantages above. Finally, the method is verified by the time prediction of printer variant design. The result indicates that the model is feasible and effective.