Prediction of the Progesterone Receptor Binding of Steroids using a Combination of Genetic Algorithms and Neural Networks

1996 ◽  
pp. 159-192 ◽  
Author(s):  
S.P. VAN HELDEN ◽  
H. HAMERSMA ◽  
V.J. VAN GEERESTEIN
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Progesterone Receptor ◽  
Receptor Binding

Comparative analysis of intelligent planning methods

2012 ◽  
Vol 9 (2) ◽  
pp. 53-57 ◽  
Author(s):  
O.V. Darintsev ◽  
A.B. Migranov
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
Comparative Analysis ◽  
Mobile Robots ◽  
Sensory Information ◽  
Working Environment ◽  
Planning Methods ◽  
Intelligent Planning

The main stages of solving the problem of planning movements by mobile robots in a non-stationary working environment based on neural networks, genetic algorithms and fuzzy logic are considered. The features common to the considered intellectual algorithms are singled out and their comparative analysis is carried out. Recommendations are given on the use of this or that method depending on the type of problem being solved and the requirements for the speed of the algorithm, the quality of the trajectory, the availability (volume) of sensory information, etc.

Improvement and optimisation of hot dip galvanising line using neural networks and genetic algorithms

2006 ◽  
Vol 33 (4) ◽  
pp. 344-352 ◽  
Author(s):  
F. J. Martínez-de-Pisón ◽  
F. Alba-Elías ◽  
M. Castejón-Limas ◽  
J. A. González-Rodríguez
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms

scholarly journals Characterization of progesterone receptor binding to the 90- and 70-kDa heat shock proteins.

1991 ◽  
Vol 266 (31) ◽  
pp. 21165-21173 ◽  
Author(s):  
D.B. Schowalter ◽  
W.P. Sullivan ◽  
N.J. Maihle ◽  
A.D. Dobson ◽  
O.M. Conneely ◽  
...  
Keyword(s):  
Heat Shock ◽  
Heat Shock Proteins ◽  
Progesterone Receptor ◽  
Receptor Binding ◽  
Shock Proteins
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