论文标题
一种多目标方法，用于非线性后源分离及其在离子选择电极上的应用
A Multi-Objective Approach for Post-Nonlinear Source Separation and its Application to Ion-Selective Electrodes
论文作者
论文摘要
已经应用了盲源分离（BSS）方法来处理离子选择电极（ISE）缺乏选择性。在本文中，与标准BSS解决方案不同，该解决方案基于与所寻求信号的给定属性相关的单一目标成本函数的优化，我们通过依靠多目标优化引入了一种新颖的方法。具有实际数据的数值实验证明，我们的建议允许在干扰模型上合并其他信息，并为用户提供一组解决方案，他/她可以根据其对问题的先验知识从中选择适当的解决方案。
Blind source separation (BSS) methods have been applied to deal with the lack of selectivity of ion-selective electrodes (ISE). In this paper, differently from the standard BSS solutions, which are based on the optimization of a mono-objective cost function associated with a given property of the sought signals, we introduce a novel approach by relying on multi-objective optimization. Numerical experiments with actual data attested that our proposal allows the incorporation of additional information on the interference model and also provides the user a set of solutions from which he/she can select a proper one according to his/her prior knowledge on the problem.
