Title :
A hybrid cognition system: application to stock market analysis
Author :
Zhongxing, Ye ; Liting, Gu
Author_Institution :
Dept. of Appl. Math., Shanghai Jiaotong Univ., China
Abstract :
In this paper we establish a simple hybrid cognition system which is based on neural networks and fuzzy decision theory. For the purpose of analyzing the trends of stock market, we expect that the system can reflect the dynamical character or chaotic performance of a trading stock market. The whole procedure of the system include: data preprocessing neural network classification, fuzzy decision and forecasting.
Keywords :
cognitive systems; decision theory; financial data processing; forecasting theory; fuzzy set theory; knowledge based systems; neural nets; pattern classification; stock markets; chaos; classification; data preprocessing; forecasting; fuzzy decision theory; hybrid cognition system; neural networks; stock market analysis; Chaos; Cognition; Data preprocessing; Decision theory; Economic forecasting; Fuzzy neural networks; Fuzzy systems; Neural networks; Performance analysis; Stock markets;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.714353
