Using a Genetic Algorithm for Optimizing Synaptic Weights of Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F03%3A01087820" target="_blank" >RIV/68407700:21110/03:01087820 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using a Genetic Algorithm for Optimizing Synaptic Weights of Neural Networks
Original language description
The paper describes how the newly developed SADE genetic algorithm can be used for training neural networks. The comparison of the SADE algorithm with the traditional backpropagation method is given and one of its applications in civil engineering is demonstrated
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
JM - Structural engineering
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA103%2F02%2F1273" target="_blank" >GA103/02/1273: Verification of 3D computational model of reinforced concrete columns by performing experimental investigation of confinement effect</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
CTU Reports 1/2003: Contributions to Computational and Experimental Investigation of Engineering Materials and Structures
ISBN
80-01-02734-1
Number of pages of the result
12
Pages from-to
161-172
Number of pages of the book
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Publisher name
Czech Technical University in Prague
Place of publication
Praha
UT code for WoS chapter
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