Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject gene expression programming
Showing results 1 to 6 of 6
| Issue Date | Title | Author(s) |
| 11-Apr-2024 | Analysis of Power System Harmonic Effects Based on Data Features and Gene Expression Programming | Xia, Y; Qing, S; Liu, Y; Liu, Y; Zhou, L; Jia, J; Huang, Z |
| 2018 | EGEP: An Event Tracker Enhanced Gene Expression Programming for Data Driven System Engineering Problems | Huang, Z; Li, M; Mousavi, A; Danishva, M; Wang, Z |
| 15-Feb-2024 | Machine learning for optimal design of circular hollow section stainless steel stub columns: A comparative analysis with Eurocode 3 predictions | Abarkan, I; Rabi, M; Vendramell Ferreira, FP; Shamass, R; Limbachiya, V; Jweihan, YS; Pinho Santos, LF |
| 7-Jan-2024 | Machine learning-driven web-post buckling resistance prediction for high-strength steel beams with elliptically-based web openings | Rabi, M; Jweihan, YS; Abarkan, I; Ferreira, FPV; Shamass, R; Limbachiya, V; Tsavdaridis, KD; Pinho Santos, LF |
| 2017 | Optimizing Hadoop Performance for Big Data Analytics in Smart Grid | Khan, M; Huang, Z; Li, M; Taylor, GA; Ashton, PM; Khan, M |
| 15-Aug-2019 | A Resource Aware Parallelized Back Propagation Neural Network in Enabling Efficient Large-Scale Digital Health Data Processing | Liu, Y; Chen, X; Xu, L; Li, H; Li, M |
