Modeling traders` adaptation with genetic programming

Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/75071

DC Field	Value	Language
dc.contributor	經濟系
dc.creator	Chen, Shu-heng;Yeh, Chia-hsuan
dc.creator	陳樹衡	zh_TW
dc.date	2000
dc.date.accessioned	2015-05-11T06:03:08Z	-
dc.date.available	2015-05-11T06:03:08Z	-
dc.date.issued	2015-05-11T06:03:08Z	-
dc.identifier.uri	http://nccur.lib.nccu.edu.tw/handle/140.119/75071	-
dc.description.abstract	How traders in the stock market adapt to an extremely complex and dynamic environment is a challenging question for modeling and simulating artificial stock markets. In this paper, we propose an application of genetic programming to modeling a population of traders learning over time
dc.format.extent	129 bytes	-
dc.format.mimetype	text/html	-
dc.relation	Knowledge-Based Intelligent Information & Engineering Systems - KES , pp. 725-728
dc.title	Modeling traders` adaptation with genetic programming
dc.type	conference	en
dc.identifier.doi	10.1109/KES.2000.884149
dc.doi.uri	http://dx.doi.org/10.1109/KES.2000.884149
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.grantfulltext	open	-
item.fulltext	With Fulltext	-
item.openairetype	conference	-
item.cerifentitytype	Publications	-
Appears in Collections:	會議論文

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