Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm
dc.creator | Salmeron J.L. | |
dc.creator | Mansouri T. | |
dc.creator | Moghadam M.R.S. | |
dc.creator | Mardani A. | |
dc.date.accessioned | 2020-09-02T22:27:42Z | |
dc.date.accessioned | 2022-11-08T20:22:08Z | |
dc.date.available | 2020-09-02T22:27:42Z | |
dc.date.available | 2022-11-08T20:22:08Z | |
dc.date.created | 2020-09-02T22:27:42Z | |
dc.date.issued | 2019 | |
dc.identifier | 163, , 723-735 | |
dc.identifier | 09507051 | |
dc.identifier | https://hdl.handle.net/20.500.12728/6166 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/5144304 | |
dc.language | en | |
dc.publisher | Elsevier B.V. | |
dc.subject | Evolutionary algorithms | |
dc.subject | Fuzzy Cognitive Maps | |
dc.subject | Machine learning | |
dc.subject | Cognitive systems | |
dc.subject | Evolutionary algorithms | |
dc.subject | Facsimile | |
dc.subject | Fuzzy rules | |
dc.subject | Knowledge representation | |
dc.subject | Large scale systems | |
dc.subject | Learning systems | |
dc.subject | Statistical tests | |
dc.subject | Asexual reproduction | |
dc.subject | Benchmark datasets | |
dc.subject | Experimental analysis | |
dc.subject | Fuzzy cognitive map | |
dc.subject | Learning approach | |
dc.subject | Learning capabilities | |
dc.subject | Out-of-sample errors | |
dc.subject | Population-based algorithm | |
dc.subject | Learning algorithms | |
dc.title | Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm | |
dc.type | Article |