Name
Title | ||
|---|---|---|
Belief Rule Base Structure and Parameter Joint Optimization Under Disjunctive Assumption for Nonlinear Complex System Modeling. |
Abstract | ||
|---|---|---|
Nonlinear complex system modeling has drawn attention from diverse fields and many approaches have been developed. Among those approaches, the advantages of the belief rule base (BRB) expert system have been shown for managing multiple types of information under uncertainty and modeling the nonlinearity present in many theoretical and practical complex systems. However, two challenges still need t... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSMC.2017.2678607 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | Field | DocType |
Optimization,Complex systems,Complexity theory,Computational modeling,Uncertainty,Training | Complex system,Particle swarm optimization,Mathematical optimization,Akaike information criterion,Evolutionary algorithm,Computer science,Expert system,Artificial intelligence,Completeness (statistics),Genetic algorithm,Machine learning | Journal |
Volume | Issue | ISSN |
48 | 9 | 2168-2216 |
Citations | PageRank | References |
13 | 0.48 | 21 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leilei Chang | 1 | 118 | 12.52 |
| ZhiJie Zhou | 2 | 479 | 37.36 |
| Yu-Wang Chen | 3 | 52 | 2.62 |
| Tianjun Liao | 4 | 55 | 3.00 |
| Yu Hu | 5 | 537 | 76.69 |
| Longhao Yang | 6 | 18 | 2.22 |