DocumentCode :
3039993
Title :
Interweave Neural Networks with Evolutionary Algorithms, Cellular Computing, Bayesian Learning and Ensemble Learning
Author :
Zhang, Jing
Author_Institution :
Beijing Union Univ., Beijing, China
fYear :
2009
fDate :
24-26 July 2009
Firstpage :
65
Lastpage :
68
Abstract :
A neural networks are able to give solutions to complex problems in business intelligence and financial engineering due to their nonlinear processing. This paper consists of a survey of various business intelligence and financial engineering and so on applications based on the neural networks, and also a summary of the recent techniques such as still evolutionary algorithms, cellular computing, Bayesian learning and ensemble learning. The neural networks can be powerful tools in several fields of business intelligence and financial engineering. It can be concluded that, the future of neural networks lies in their use in conjunction with other advanced technologies.
Keywords :
competitive intelligence; evolutionary computation; learning (artificial intelligence); neural nets; Bayesian learning; business intelligence; cellular computing; complex problems; ensemble learning; evolutionary algorithms; financial engineering; interweave neural networks; nonlinear processing; Bayesian methods; Cellular networks; Cellular neural networks; Chaos; Computer networks; Evolutionary computation; Intelligent networks; Neural networks; Power engineering and energy; Power engineering computing; Bayesian learning; cellular computing; ensemble learning; evolutionary algorithms; neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3705-4
Type :
conf
DOI :
10.1109/BIFE.2009.25
Filename :
5208935
Link To Document :
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