lp Norm Smooth Inversion of Magnetic Anomaly Based on Improved Adaptive Differential Evolution
出版年份 2021 全文链接
标题
lp Norm Smooth Inversion of Magnetic Anomaly Based on Improved Adaptive Differential Evolution
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 11, Issue 3, Pages 1072
出版商
MDPI AG
发表日期
2021-01-25
DOI
10.3390/app11031072
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Updating the neural network sediment load models using different sensitivity analysis methods: a regional application
- (2020) Reza Asheghi et al. JOURNAL OF HYDROINFORMATICS
- A permutational-based Differential Evolution algorithm for feature subset selection
- (2020) Rafael Rivera-López et al. PATTERN RECOGNITION LETTERS
- Inversion using spatially variable mixed ℓp-norms
- (2019) Dominique Fournier et al. GEOPHYSICAL JOURNAL INTERNATIONAL
- Time modulated array sideband suppression for joint radar-communications system based on the differential evolution algorithm
- (2019) Chengzhao Shan et al. DIGITAL SIGNAL PROCESSING
- Inverse problem based differential evolution for efficient structural health monitoring of trusses
- (2018) Sujin Bureerat et al. APPLIED SOFT COMPUTING
- Particle swarm optimization inversion of magnetic data: Field examples from iron ore deposits in China
- (2018) Shuang Liu et al. GEOPHYSICS
- An artificial neural network based model to predict spatial soil type distribution using piezocone penetration test data (CPTu)
- (2018) Abdolvahed Ghaderi et al. Bulletin of Engineering Geology and the Environment
- 3D non-linear inversion of magnetic anomalies caused by prismatic bodies using differential evolution algorithm
- (2017) Çağlayan Balkaya et al. JOURNAL OF APPLIED GEOPHYSICS
- Amplitude inversion of the 2D analytic signal of magnetic anomalies through the differential evolution algorithm
- (2017) Yunus Levent Ekinci et al. Journal of Geophysics and Engineering
- On the comparison of initialisation strategies in differential evolution for large scale optimisation
- (2017) Eduardo Segredo et al. Optimization Letters
- Adaptive Differential Evolution With Sorting Crossover Rate for Continuous Optimization Problems
- (2017) Yin-Zhi Zhou et al. IEEE Transactions on Cybernetics
- Adaptive guided differential evolution algorithm with novel mutation for numerical optimization
- (2017) Ali Wagdy Mohamed et al. International Journal of Machine Learning and Cybernetics
- Recent advances in differential evolution – An updated survey
- (2016) Swagatam Das et al. Swarm and Evolutionary Computation
- Cluster-Based Population Initialization for differential evolution frameworks
- (2015) Ilpo Poikolainen et al. INFORMATION SCIENCES
- Three-dimensional correlation imaging for total amplitude magnetic anomaly and normalized source strength in the presence of strong remanent magnetization
- (2014) Lianghui Guo et al. JOURNAL OF APPLIED GEOPHYSICS
- A hybrid gradient-based and differential evolution algorithm for infinite impulse response adaptive filtering
- (2013) Sumeth Yuenyong et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Understanding imaging methods for potential field data
- (2012) Maurizio Fedi et al. GEOPHYSICS
- Digital IIR Filters Design Using Differential Evolution Algorithm with a Controllable Probabilistic Population Size
- (2012) Wu Zhu et al. PLoS One
- Potential field migration for rapid imaging of gravity gradiometry data
- (2011) Michael S. Zhdanov et al. GEOPHYSICAL PROSPECTING
- Recent advances in differential evolution: a survey and experimental analysis
- (2009) Ferrante Neri et al. ARTIFICIAL INTELLIGENCE REVIEW
- JADE: Adaptive Differential Evolution With Optional External Archive
- (2009) Jingqiao Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Synchronization in complex networks
- (2008) Alex Arenas et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now