Bidirectional associative memory networks applied to modeling non-neoclassical economic behaviour
作者： S. Garavaglia
DOI: 10.1109/IJCNN.1992.226940
关键词: Work (electrical) 、 Content-addressable storage 、 Artificial intelligence 、 Bidirectional associative memory 、 Microeconomics 、 Artificial neural network 、 Computer science 、 Productivity
摘要: Artificial neural networks can be applied to analyzing and understanding economic behaviour. Feedback networks, such as the bidirectional associative memory (BAM) network, are appropriate when agents make decisions based on other agents' behavior. In case presented, BAM weight matrix represents influence of group workers any one worker. Each X vector a specific worker's characteristics Y results given firm's work rules. It is shown that imposing more constraints polarized them into two extreme performance groups with an overall result reducing effort offered by poorer workers. The presence poor causes good harder. not conclusive replacing better increases productivity group. >
sci-hub.se 参考文章(9)
Shashi Shekhar, Soumitra Dutta, Bond rating: A non-conservative application of neural networks Publ by IEEE. pp. 443- 450 ,(1988)
Dutta, Shekhar, Bond rating: a nonconservative application of neural networks IEEE 1988 International Conference on Neural Networks. pp. 443- 450 ,(1988) , 10.1109/ICNN.1988.23958
Stephen Grossberg, Nonlinear neural networks: Principles, mechanisms, and architectures Neural Networks. ,vol. 1, pp. 17- 61 ,(1988) , 10.1016/0893-6080(88)90021-4
A.J. Surkan, J.C. Singleton, Neural networks for bond rating improved by multiple hidden layers international joint conference on neural network. pp. 157- 162 ,(1990) , 10.1109/IJCNN.1990.137709
George A. Akerlof, Labor Contracts as Partial Gift Exchange The Quarterly Journal of Economics. ,vol. 97, pp. 543- 569 ,(1982) , 10.2307/1885099
S. Garavaglia, An application of a counter-propagation neural network: simulating the Standard and Poor's Corporate Bond Rating system international conference on artificial intelligence and applications. pp. 278- 287 ,(1991) , 10.1109/AIAWS.1991.236588
White, Economic prediction using neural networks: the case of IBM daily stock returns IEEE 1988 International Conference on Neural Networks. pp. 451- 458 ,(1988) , 10.1109/ICNN.1988.23959
George C. Homans, The Cash Posters: A Study of a Group of Working Girls American Sociological Review. ,vol. 19, pp. 724- ,(1954) , 10.2307/2087919
Chung-Ming Kuan, Predicting appliance ownership using logit, neural network, and regression tree models [Urbana, Ill.] : College of Commerce and Business Administration, University of Illinois at Urbana-Champaign,. ,(1990)