An optimized neural network classification method based on kernel holistic learning and division (KHLD) is presented. The proposed the learned radial basis function (RBF) as research object. here can be considered a subspace region consisting of same pattern category in training sample space. By extending space original instances, relevant information between instances obtained from subspace, c...

Product performance, function, cost, and the level of module generalization are all significantly influenced by product modular design, but different goods require division indicators techniques. The purpose this study is to provide a set appropriate techniques for FDM 3D printers. This research offers an ecologically friendly index uses clustering as principle in accordance with current indust...