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JSAI Technical Report, Type 2 SIG
This paper proposes a new method of time series prediction, using mulitiple deep learners and a Baysian network. We firstly suggests two approaches. The former is a method in which explanatory variables of inputs data are nodes of a Bayesian network and are associated with learners. On the other hand, the latter method is a method in which the outputs of all the learners are made to nodes of the Bayesian network and the outputs are integrated. In this paper, the former method will be proposeddoi:10.11517/jsaisigtwo.2017.agi-007_05 fatcat:7mfevjo7kncv5p7mxutigfjbey