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TNN
1998

Fast training of recurrent networks based on the EM algorithm

13 years 3 months ago
Fast training of recurrent networks based on the EM algorithm
— In this work, a probabilistic model is established for recurrent networks. The EM (expectation-maximization) algorithm is then applied to derive a new fast training algorithm for recurrent networks through mean-field approximation. This new algorithm converts training a complicated recurrent network into training an array of individual feedforward neurons. These neurons are then trained via a linear weighted regression algorithm. The training time has been improved by five to 15 times on benchmark problems.
Sheng Ma, Chuanyi Ji
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 1998
Where TNN
Authors Sheng Ma, Chuanyi Ji
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