Title :
Improved CPSO-LSSVM in predicting financial distress
Author :
Xinheng, Liang ; Jingmin, Wang ; Xiaoqiong, An
Author_Institution :
Apartment of Econ. & Manage., North China Electr. Power Univ., Baoding, China
Abstract :
Financial decisions are difficult because of complex unpredictable factors but play critical role in financial activities. In this paper, we investigate the decision making problems and applied methods by considering different categories of financial ratios as input to the CGA-LSSVM model, which with we present a framework for the financial decision support system.
Keywords :
decision making; financial data processing; least mean squares methods; particle swarm optimisation; support vector machines; CPSO; LSSVM; culture particle swarm optimization; decision making; financial decision support system; financial distress prediction; least square support vector machines; Accuracy; Atmospheric measurements; Computational modeling; Current measurement; Indexes; Particle measurements; Support vector machines; Culture Particle Swarm Optimization algorithm (CPSO); Financial distress; Fuzzy integral; Least square support vector machines (LSSVM);
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
DOI :
10.1109/IITA-GRS.2010.5602592
