Name
Abstract | ||
|---|---|---|
The artificial endocrine system (AES) is a new branch of natural computing which uses ideas and takes inspiration from the
information processing mechanisms contained in the mammalian endocrine system. It is a fast growing research field in which
a variety of new theoretical models and technical methods have been studied for dealing with complex and significant problems.
An overview of some recent advances in AES modeling and its applications is provided in this paper, based on the major and
latest works. This review covers theoretical modeling, combinations of algorithms, and typical application fields. A number
of challenges that can be undertaken to help move the field forward are discussed according to the current state of the AES
approach. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1631/jzus.C1000044 | Journal of Zhejiang University: Science C |
Keywords | Field | DocType |
artificial immune system ais,artificial endocrine system aes,artificial neural network ann,endocrine cell,hormone,artificial immune system,artificial neural network,natural computing,information processing | Natural computing,Mathematical optimization,Information processing,Systems engineering,Computer science,Theoretical models,Artificial intelligence | Journal |
Volume | Issue | ISSN |
12 | 3 | 1869-196X |
Citations | PageRank | References |
9 | 0.90 | 39 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingzheng Xu | 1 | 58 | 7.89 |
| xu | 2 | 14 | 3.08 |
| Lei Wang | 3 | 60 | 9.21 |
| Lei Wang | 4 | 60 | 9.21 |