Recognition of Korean spoken digit using single layer recurrent neural networks
Jin Kyung Ryeu, Hey Young Tak, N.W. Heo, H.S. Chung · 2005
We proposed the novel single layer dynamic and static recurrent neural networks. These networks can be used to the recognition of dynamic patterns. With the feedback connections, the learning performance of the patterns can be improved. Considering the hardware implementation, we used integer type learning algorithm. These networks were applied to the recognition of Korean spoken digits.