TY - GEN
T1 - Feed-forward neural network with adaptive buffer length
AU - Tsunoda, Akihiro
AU - Hagiwara, Masafumi
AU - Nakagawa, Masao
PY - 1992/1/1
Y1 - 1992/1/1
N2 - Summary form only given, as follows. A feedforward neural network with adaptive buffer length (FAB) was proposed and simulated. FAB has some buffers that store the past inputs and switches between the buffers and hidden units, which control the output of the buffers. Computer simulation results indicate that FAB can adjust the length of buffers for each input pattern automatically. FAB can also find the Markov dimension of the input sequences more effectively than the conventional dynamic network models.
AB - Summary form only given, as follows. A feedforward neural network with adaptive buffer length (FAB) was proposed and simulated. FAB has some buffers that store the past inputs and switches between the buffers and hidden units, which control the output of the buffers. Computer simulation results indicate that FAB can adjust the length of buffers for each input pattern automatically. FAB can also find the Markov dimension of the input sequences more effectively than the conventional dynamic network models.
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M3 - Conference contribution
AN - SCOPUS:0026679054
SN - 0780301641
T3 - Proceedings. IJCNN - International Joint Conference on Neural Networks
BT - Proceedings. IJCNN - International Joint Conference on Neural Networks
A2 - Anon, null
PB - Publ by IEEE
T2 - International Joint Conference on Neural Networks - IJCNN-91-Seattle
Y2 - 8 July 1991 through 12 July 1991
ER -