混合径向基函数中的投资组合选择

IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications Pub Date : 2014-07-07 DOI:10.1109/IISA.2014.6878774

Nikos Loukeris, I. Eleftheriadis, E. Livanis

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引用次数: 3

摘要

如果投资组合选择包含不显眼的隐藏信息，则将其升级为扩展的会计和财务数据。径向基函数网在许多混合拓扑上进行了检查，旨在指定投资组合管理中最先进的技术。径向基函数与遗传算法的混合优化优于所有rbf的混合神经遗传学。

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Portfolio selection in hybrid Radial Basis Functions

The portfolio selection is upgraded should it includes unobtrusive hidden information, into extended accounting and financial data. The Radial Basis Function Nets are examined on numerous hybrids topologies, aiming to specify the most advanced techniques in portfolio management. A Radial Basis Function Hybrid into Genetic Algorithms optimisation is superior to all the hybrid neuro-genetics of RBFs.

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IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications

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