DocumentCode
1651722
Title
Evolutionary optimisation of MLP for modelling protein synthesis termination signal efficiency
Author
Watts, Michael ; Major, Louise ; Tate, Warren
Author_Institution
Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
Volume
1
fYear
2002
Firstpage
193
Lastpage
198
Abstract
Multi-layer perceptron neural networks that have been optimised by an evolutionary algorithm, were used to model experimentally determined protein synthesis termination signal strength. It is shown that the evolutionary algorithm produced much smaller multi-layer perceptrons with comparable or superior performance to manually designed networks
Keywords
genetic algorithms; multilayer perceptrons; neural nets; evolutionary algorithm; evolutionary optimisation; multilayer perceptron neural networks; protein synthesis termination signal efficiency modelling; Amino acids; DNA; Decoding; Evolutionary computation; Genetics; Multilayer perceptrons; Network synthesis; Proteins; Sequences; Signal synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1006232
Filename
1006232
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