Automatically assigned DDC number: 0046

Manually assigned DDC number: 00632

Number of references: 32

Title: Recurrent Multilayer Perceptrons for Identification and Control: The Road to Applications

Author:

Subject: K. Tutschku Recurrent Multilayer Perceptrons for Identification and Control: The Road to Applications

Description: : This study investigates the properties of artificial recurrent neural networks. Particular attention is paid to the question of how these nets can be applied to the identification and control of non-linear dynamic processes. Since these kind of processes can only insufficiently be modelled by conventional methods, different approaches are required. Neural networks are considered to be useful for this purpose due to their ability to approximate a wide class of continuous functions. Among the numerous network structures, especially the recurrent multi-layer perceptron (RMLP) architecture is promising from application point of view. This network architecture has the wellknown properties of multi layer perceptrons and moreover these nets have the ability to incorporate temporal behavior. Departing from the original process description the applicability of RMLPs is investigated and different learning algorithms for this network class are outlined. Furthermore, besides the conventional alg...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1998-11-09

Pubyear: 1995

Format: ps

Identifier: http://citeseer.ist.psu.edu/24627.html

Source: http://www-info3.informatik.uni-wuerzburg.de/~tutschku/pub/PS/tr118.ps.gz

Language: en

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