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Multilayer neural networks: a generalized net perspective
The primary purpose of this book is to show that a multilayer neural network can be considered as a multistage system, and then that the learning of this class of neural networks can be treated as a special sort of the optimal control problem. In this way, the optimal control problem methodology, li...
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Lenguaje: | eng |
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Springer
2013
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-00248-4 http://cds.cern.ch/record/1552002 |
_version_ | 1780930269688102912 |
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author | Krawczak, Maciej |
author_facet | Krawczak, Maciej |
author_sort | Krawczak, Maciej |
collection | CERN |
description | The primary purpose of this book is to show that a multilayer neural network can be considered as a multistage system, and then that the learning of this class of neural networks can be treated as a special sort of the optimal control problem. In this way, the optimal control problem methodology, like dynamic programming, with modifications, can yield a new class of learning algorithms for multilayer neural networks. Another purpose of this book is to show that the generalized net theory can be successfully used as a new description of multilayer neural networks. Several generalized net descriptions of neural networks functioning processes are considered, namely: the simulation process of networks, a system of neural networks and the learning algorithms developed in this book. The generalized net approach to modelling of real systems may be used successfully for the description of a variety of technological and intellectual problems, it can be used not only for representing the parallel functioning of homogenous objects, but also for modelling non-homogenous systems, for example systems which consist of a different kind of subsystems. The use of the generalized nets methodology shows a new way to describe functioning of discrete dynamic systems. |
id | cern-1552002 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2013 |
publisher | Springer |
record_format | invenio |
spelling | cern-15520022021-04-21T22:40:11Zdoi:10.1007/978-3-319-00248-4http://cds.cern.ch/record/1552002engKrawczak, MaciejMultilayer neural networks: a generalized net perspectiveEngineeringThe primary purpose of this book is to show that a multilayer neural network can be considered as a multistage system, and then that the learning of this class of neural networks can be treated as a special sort of the optimal control problem. In this way, the optimal control problem methodology, like dynamic programming, with modifications, can yield a new class of learning algorithms for multilayer neural networks. Another purpose of this book is to show that the generalized net theory can be successfully used as a new description of multilayer neural networks. Several generalized net descriptions of neural networks functioning processes are considered, namely: the simulation process of networks, a system of neural networks and the learning algorithms developed in this book. The generalized net approach to modelling of real systems may be used successfully for the description of a variety of technological and intellectual problems, it can be used not only for representing the parallel functioning of homogenous objects, but also for modelling non-homogenous systems, for example systems which consist of a different kind of subsystems. The use of the generalized nets methodology shows a new way to describe functioning of discrete dynamic systems. Springeroai:cds.cern.ch:15520022013 |
spellingShingle | Engineering Krawczak, Maciej Multilayer neural networks: a generalized net perspective |
title | Multilayer neural networks: a generalized net perspective |
title_full | Multilayer neural networks: a generalized net perspective |
title_fullStr | Multilayer neural networks: a generalized net perspective |
title_full_unstemmed | Multilayer neural networks: a generalized net perspective |
title_short | Multilayer neural networks: a generalized net perspective |
title_sort | multilayer neural networks: a generalized net perspective |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-319-00248-4 http://cds.cern.ch/record/1552002 |
work_keys_str_mv | AT krawczakmaciej multilayerneuralnetworksageneralizednetperspective |