Presentation 1997/3/18
A Consideration on Memorialization and Recall Ability of TDNN for Time-Series Patterns
Kiyoshi NISHIYAMA, Satoshi YAGI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) A study on artificial Neural Networks to memorialize and recall time-series patterns is very important for speech recognition, motion control and etc. In this paper, an artifitial neural network, which is called the time-delay neural network(TDNN), is focused on and the memorialization and recall ability of the TDNN for various kind of time-series partterns is investigated by computer simulations.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) TDNN / time-series / memorialization / recall / prediction
Paper # NC96-167
Date of Issue

Conference Information
Committee NC
Conference Date 1997/3/18(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Consideration on Memorialization and Recall Ability of TDNN for Time-Series Patterns
Sub Title (in English)
Keyword(1) TDNN
Keyword(2) time-series
Keyword(3) memorialization
Keyword(4) recall
Keyword(5) prediction
1st Author's Name Kiyoshi NISHIYAMA
1st Author's Affiliation Department of Information and Computer Engineering, Polytecnic University()
2nd Author's Name Satoshi YAGI
2nd Author's Affiliation Department of Information and Computer Engineering, Polytecnic University
Date 1997/3/18
Paper # NC96-167
Volume (vol) vol.96
Number (no) 584
Page pp.pp.-
#Pages 8
Date of Issue