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Artificial neural networks and their...

Bengio, Yoshua.

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Artificial neural networks and their application to sequence recognition.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial neural networks and their application to sequence recognition./
Author:	Bengio, Yoshua.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 1991,
Description:	180 p.
Notes:	Source: Dissertation Abstracts International, Volume: 53-12, Section: B, page: 6387.
Contained By:	Dissertation Abstracts International53-12B.
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NN72116
ISBN:	9780315721166

Artificial neural networks and their application to sequence recognition.
Bengio, Yoshua.

Artificial neural networks and their application to sequence recognition. - Ann Arbor : ProQuest Dissertations & Theses, 1991 - 180 p.

Source: Dissertation Abstracts International, Volume: 53-12, Section: B, page: 6387.

Thesis (Ph.D.)--McGill University (Canada), 1991.

This thesis studies the introduction of a priori structure into the design of learning systems based on artificial neural networks applied to sequence recognition, in particular to phoneme recognition in continuous speech. Because we are interested in sequence analysis, algorithms for training recurrent networks are studied and an original algorithm for constrained recurrent networks is proposed and test results are reported. We also discuss the integration of connectionist models with other analysis tools that have been shown to be useful for sequences, such as dynamic programming and hidden Markov models. We introduce an original algorithm to perform global optimization of a neural network/hidden Markov model hybrid, and show how to perform such a global optimization on all the parameters of the system. Finally, we consider some alternatives to sigmoid networks: Radial Basis Functions, and a method for searching for better learning rules using a priori knowledge and optimization algorithms.

ISBN: 9780315721166Subjects--Topical Terms:

523869
Computer science.

Artificial neural networks and their application to sequence recognition.
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100 1 $a Bengio, Yoshua. $3 3272054
245 1 0 $a Artificial neural networks and their application to sequence recognition.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 1991
300 $a 180 p.
500 $a Source: Dissertation Abstracts International, Volume: 53-12, Section: B, page: 6387.
502 $a Thesis (Ph.D.)--McGill University (Canada), 1991.
520 $a This thesis studies the introduction of a priori structure into the design of learning systems based on artificial neural networks applied to sequence recognition, in particular to phoneme recognition in continuous speech. Because we are interested in sequence analysis, algorithms for training recurrent networks are studied and an original algorithm for constrained recurrent networks is proposed and test results are reported. We also discuss the integration of connectionist models with other analysis tools that have been shown to be useful for sequences, such as dynamic programming and hidden Markov models. We introduce an original algorithm to perform global optimization of a neural network/hidden Markov model hybrid, and show how to perform such a global optimization on all the parameters of the system. Finally, we consider some alternatives to sigmoid networks: Radial Basis Functions, and a method for searching for better learning rules using a priori knowledge and optimization algorithms.
590 $a School code: 0781.
650 4 $a Computer science. $3 523869
650 4 $a Artificial intelligence. $3 516317
690 $a 0984
690 $a 0800
710 2 $a McGill University (Canada). $3 1018122
773 0 $t Dissertation Abstracts International $g 53-12B.
790 $a 0781
791 $a Ph.D.
792 $a 1991
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NN72116