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