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Time delay neural network

Known as: TDNN 
Time delay neural network (TDNN) is an artificial neural network architecture whose primary purpose is to work on sequential data. The TDNN units… 
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Related topics

Related topics

13 relations
Artificial neural networkBackpropagationBidirectional recurrent neural networksConvolutional neural network

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2008
2008
Fast Complex Valued Time Delay Neural Networks
A process for water purification, intended for the purification of impure water to drinking water condition, composed of mixing… 
2005
2005
Modified time delay neural networks for fast data processing
In recent years, time delay neural networks are successfully used in many applications. Here, a new idea to speed the operation… 
2002
2002
Application of time delay neural network to automatic landing control
This paper presents an intelligent automatic landing system that uses a time delay neural network controller and a linearized… 
Highly Cited
2002
Highly Cited
2002
Detection of the first heart sound using a time-delay neural network
A method for detecting the first heart sound (SI) using a time-delay neural network (TDNN) is reported The network consists of a… 
Highly Cited
2001
Highly Cited
2001
Bayesian network modeling of strokes and their relationships for on-line handwriting recognition
It is important to model strokes and their relationships for on-line handwriting recognition, because they reflect character… 
2000
2000
Parallel system design for time-delay neural networks
The authors develop a parallel structure for the time-delay neural network used in some speech recognition applications. The… 
Highly Cited
1998
Highly Cited
1998
A TIME-DELAY NEURAL NETWORK ALGORITHM FOR REAL-TIME PEDESTRIAN RECOGNITION
This paper describes an algorithm for pedestrian recognition from sequences of grayscale stereo images taken from a pair of… 
1996
1996
LIP movements synthesis using time delay neural networks
A method exploiting the audio-visual correlation of speech in order to estimate the lip and mouth movements is presented. Its… 
1995
1995
Bearing estimation with time-delay neural networks
In this paper we present a neuromimetic approach to the bearing estimation issue. The proposed method is based on time-delay… 
1991
1991
Reverse TDNN: An Architecture For Trajectory Generation
The backpropagation algorithm can be used for both recognition and generation of time trajectories. When used as a recognizer, it… 
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