HIGHLIGHTS
- who: Zuo-wei Wang from the Department of Computer Science and Software, Tianjin Polytechnic University, Tianjin, China have published the research work: A Self-Organizing Incremental Spatiotemporal Associative Memory Networks Model for Problems with Hidden State, in the Journal: (JOURNAL) of 31/05/2016
- what: The authors provide calculation equations for each identifying process. The authors compare the related work with the STAMN model. The symmetrical environment in this paper is very complex, which is shown in Figure 11(a). In this paper, SATMN is proposed to identify the looped hidden state only by the . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.