Estimation of hidden markov chains by a neural network

被引：0
作者：
机构：
[1] School of Medicine, Aichi Medical University Nagakute, Aichi-ken
[2] Aichi-Gakuin University Nisshin, Aichi-ken
[3] Department of Statistics, University of Kentucky Lexington, Kentucky
来源：
Ito, Yoshifusa (ito@aichi-med-u.ac.jp) | 1600年 / Springer Verlag卷 / 8834期
关键词：
Chains - Markov processes;
D O I：
10.1007/978-3-319-12637-1_75
中图分类号：
学科分类号：
摘要：
The main theme is to show that a one-hidden-layer neural network, which has learned a Bayesian discriminant function, can be used for estimating hidden Markov chains. The crucial point of the algorithm is the use of the logistic function as the activation of the output unit of the network. The network learns a single discriminant function, but converts it to the individual discriminant functions at all the steps. © Springer International Publishing Switzerland 2014.
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页码：602 / 609
页数：7
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