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Título
Integrated neuro-evolution-based computing solver for dynamics of nonlinear corneal shape model numerically
Autor(es)
Materia
Stochastic numerical computing
Neural networks
Genetic algorithms
Corneal shape models
Optimization techniques
Clasificación UNESCO
12 Matemáticas
Fecha de publicación
2020
Editor
Springer
Resumen
[EN]In this study, bio-inspired computational techniques have been exploited to get the numerical solution of a nonlinear two-point boundary value problem arising in the modelling of the corneal shape. The computational process of modelling and optimization makes enormously straightforward to obtain accurate approximate solutions of the corneal shape models through artificial neural networks, pattern search (PS), genetic algorithms (GAs), simulated annealing (SA), active-set technique (AST), interior-point technique, sequential quadratic programming and their hybrid forms based on GA–AST, PS–AST and SA–AST. Numerical results show that the designed solvers provide a reasonable precision and efficiency with minimal computational cost. The efficacy of the proposed computing strategies is also investigated through a descriptive statistical analysis by means of histogram illustrations, probability plots and one-way analysis of variance.
URI
ISSN
0941-0643
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