Non-Gaussian Hybrid Transfer Functions: Memorizing Mine Survivability Calculations
Joint Authors
Yao, Hong-Xing
Yeboah, Mary Ann
Dun, Han
Huang, Jun Steed
Ansong, Mary Opokua
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-02
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Hybrid algorithms and models have received significant interest in recent years and are increasingly used to solve real-world problems.
Different from existing methods in radial basis transfer function construction, this study proposes a novel nonlinear-weight hybrid algorithm involving the non-Gaussian type radial basis transfer functions.
The speed and simplicity of the non-Gaussian type with the accuracy and simplicity of radial basis function are used to produce fast and accurate on-the-fly model for survivability of emergency mine rescue operations, that is, the survivability under all conditions is precalculated and used to train the neural network.
The proposed hybrid uses genetic algorithm as a learning method which performs parameter optimization within an integrated analytic framework, to improve network efficiency.
Finally, the network parameters including mean iteration, standard variation, standard deviation, convergent time, and optimized error are evaluated using the mean squared error.
The results demonstrate that the hybrid model is able to reduce the computation complexity, increase the robustness and optimize its parameters.
This novel hybrid model shows outstanding performance and is competitive over other existing models.
American Psychological Association (APA)
Ansong, Mary Opokua& Huang, Jun Steed& Yeboah, Mary Ann& Dun, Han& Yao, Hong-Xing. 2015. Non-Gaussian Hybrid Transfer Functions: Memorizing Mine Survivability Calculations. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1074312
Modern Language Association (MLA)
Ansong, Mary Opokua…[et al.]. Non-Gaussian Hybrid Transfer Functions: Memorizing Mine Survivability Calculations. Mathematical Problems in Engineering No. 2015 (2015), pp.1-18.
https://search.emarefa.net/detail/BIM-1074312
American Medical Association (AMA)
Ansong, Mary Opokua& Huang, Jun Steed& Yeboah, Mary Ann& Dun, Han& Yao, Hong-Xing. Non-Gaussian Hybrid Transfer Functions: Memorizing Mine Survivability Calculations. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1074312
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074312