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
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006232
