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Uncertain systems are universal approximators
| Content Provider | Semantic Scholar |
|---|---|
| Author | Peng, Zixiong Chen, Xiaowei |
| Copyright Year | 2014 |
| Abstract | Uncertain inference is a process of deriving consequences from uncertain knowledge or evidences via the tool of conditional uncertain set. Based on uncertain inference, uncertain system is a function from its inputs to outputs. This paper proves that uncertain systems are universal approximators, which means that uncertain systems are capable of approximating any continuous function on a compact set to arbitrary accuracy. This result can be viewed as an existence theorem of an optimal uncertain system for a wide variety of problems. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://orsc.edu.cn/online/100110.pdf |
| Alternate Webpage(s) | https://juaa-journal.springeropen.com/track/pdf/10.1186/2195-5468-2-13 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |