scholarly journals Wavelet Neural Networks for DNA Sequence Classification Using the Genetic Algorithms and the Least Trimmed Square

2016 ◽  
Vol 96 ◽  
pp. 418-427 ◽  
Author(s):  
Abdesselem Dakhli ◽  
Wajdi Bellil ◽  
Chokri Ben amar
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Dna Sequence ◽  
Sequence Classification ◽  
Wavelet Neural Networks

scholarly journals Prediction of Entering Percentage into Expressway Service Areas Based on Wavelet Neural Networks and Genetic Algorithms

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 54562-54574 ◽  
Author(s):  
Xiaoyan Shen ◽  
Fan Zhang ◽  
Huitao Lv ◽  
Jia Liu ◽  
Haoxue Liu
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Wavelet Neural Networks ◽  
Service Areas

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.

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