Computational Intelligence Methods for Financial Applications

通过能够从可用数据中学习并适应环境变化的软件可以更好地解决复杂的财务问题。因此，开发能够在受限和动态环境中进行预测和优化的技术至关重要。尽管现有的商业决策支持系统无处不在，但随着该领域新标准的制定，它们为澳大利亚提供了走在前沿的机会，但目前它们仍存在一些局限性。此外，基金管理行业（特别是养老金）对澳大利亚经济至关重要，这项技术的发展有可能提高其业绩和声誉。

Complex financial problems can be better addressed with software that can learn from available data and adapt to environmental changes. It is therefore essential to develop technologies that enable prediction and optimisation in constrained and dynamic environments. There are currently some limitations in existing business decision support systems despite their ubiquity providing an opportunity for Australia to be at the forefront as new standards in the field are developed. Furthermore, the fund management industry (particularly superannuation) is significant to the Australian economy and development of this technology has the potential to enhance its performance and reputation.