| Title |
Comparison result of inversion of gravity data of a fault by particle swarm optimization and Levenberg-Marquardt methods
|
|---|---|
| Published in |
SpringerPlus, September 2013
|
| DOI | 10.1186/2193-1801-2-462 |
| Pubmed ID | |
| Authors |
Reza Toushmalani |
| Abstract |
The purpose of this study was to compare the performance of two methods for gravity inversion of a fault. First method [Particle swarm optimization (PSO)] is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. Second method [The Levenberg-Marquardt algorithm (LM)] is an approximation to the Newton method used also for training ANNs. In this paper first we discussed the gravity field of a fault, then describes the algorithms of PSO and LM And presents application of Levenberg-Marquardt algorithm, and a particle swarm algorithm in solving inverse problem of a fault. Most importantly the parameters for the algorithms are given for the individual tests. Inverse solution reveals that fault model parameters are agree quite well with the known results. A more agreement has been found between the predicted model anomaly and the observed gravity anomaly in PSO method rather than LM method. |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 38% |
| Student > Master | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Researcher | 2 | 8% |
| Lecturer | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 33% |
| Earth and Planetary Sciences | 2 | 8% |
| Energy | 2 | 8% |
| Agricultural and Biological Sciences | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 September 2013.
All research outputs
#16,452,494
of 24,226,848 outputs
Outputs from SpringerPlus
#951
of 1,858 outputs
Outputs of similar age
#125,097
of 202,337 outputs
Outputs of similar age from SpringerPlus
#52
of 102 outputs
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