Utilization of artificial neural networks and the TD-learning method for constructing intelligent decision support systems

European Journal of Operational Research

Volumn 122, Issue 2, 2000, Pages 501-508

  Baba, N ^a   Suto, H ^a  

^a OSAKA KYOIKU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; INVENTORY CONTROL; LEARNING SYSTEMS; NEURAL NETWORKS; SALES;

SALES PREDICTION; TEMPORAL DIFFERENCE LEARNING METHOD;

OPERATIONS RESEARCH;

EID: 0033904548     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0377-2217(99)00250-7     Document Type: Article

References (8)

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2. Sutton R.S. Learning to predict by the methods of temporal differences. Machine Learning. 3:1988;9-44.
3. Tesauro G. Temporal difference learning and TD-gammon. Communications of the ACM. 38:1995;58-68.
4. N. Baba, M. Kozaki, An intelligent forecasting system of stock price using neural network, in: Proceedings of the International Joint Conference on Neural Networks, vol. 1, 1992, pp. 371-377.
5. N. Baba et al., A user friendly decision support system for dealing stocks using neural network, in: Proceedings of 1993 IJCNN Conference, 1993, pp. 762-765.
6. N. Baba et al., A hybrid algorithm for finding the global minimum of error function of neural networks, Neural Networks 7 (1994) 1253-1265.
7. N. Baba et al., Utilization of neural networks and GAs for constructing an intelligent decision support system to deal stocks, in: Proceedings of the SPIE Conference, vol. 2760, 1996, pp. 164-174.
8. Baba, TD-Learning with neural networks, Journal of Robotics and Mechatronics 10 (1998) 289-294.