… In conclusion, social network researchers have employed network analysis method to
enrich our understanding of the dynamic processes of knowledge transfer, shed light on the …

… knowledge transfer for autonomous path selection. In the training phase, we implement the
classic shortest path routing algorithm [25] and load balancing algorithm [26] on the network …

… in the transfer learning on modular neural networks are optimized by a tournament selection
… A modular neural network contains a layer of multiple modules (small layers that may be …

… can facilitate knowledge transfer in university–… knowledge transfer provides a valuable
perspective. We started our review with identifying barriers and facilitators of knowledge transfer. …

… networks. We compare our method with existing knowledge transfer methods on both
knowledge … In all the experiments, we select the same pairs of intermediate layers for knowledge …

… of knowledge from higher education institutions (HEIs) to society at large. Drawing on a panel
of knowledge transfer … when seeking to foster the transfer of knowledge to society at large. …

… of FME knowledge on international market selection, network … effects of network capability
on international market selection and … between international market selection and international …

… knowledge from a well-trained teacher network to obtain a student network for new vision
tasks. We propose a robust knowledge transfer … and we randomly select 500 images out as the …

… is not deployed in their work to select potential elite solutions with potentially good … networks
[11]. In order to “achieve the adaptive ability, a unified representation design and selection …

… rules above are helpful to select a suitable transfer strategy, the design of knowledge … )
method [208] was also used for network minimization during knowledge transfer-based RMFD. …