Evolutionary Techniques for the Solution of Bio-Heat Equation Arising in Human Dermal Region Model
نویسندگان
چکیده
Abstract The proposed research work analyzes the bio-inspired problem through artificial neural networks with a feed-forward approach utilized to approximate numerical results for singular nonlinear bio-heat equation (BHE) boundary conditions based on four different scenarios created variation of environmental temperature illustrate effects human dermal region. log-sigmoid function is used construct fitness function, while optimization solvers: pattern search and genetic algorithm, are then hybridized active set technique, interior point sequential quadratic programming accurate reliable BHE various where convergence also analyzed. Moreover, comparison technique expressed residual error that reveals nature their efficiency. Additionally, comprehensive statistical analysis presented designed better accuracy, reliability, efficiency obtained results.
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ژورنال
عنوان ژورنال: Arabian journal for science and engineering
سال: 2023
ISSN: ['2191-4281', '2193-567X']
DOI: https://doi.org/10.1007/s13369-023-07907-5