Hybrid Intelligent Systems for Stock Market Analysis-Reference-Cited by-同舟云学术

Hybrid Intelligent Systems for Stock Market Analysis

Published:2001 Issue: Volume: Page:337-345
ISSN:0302-9743
Container-title:Computational Science - ICCS 2001
language:
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Author:

Abraham Ajith,Nath Baikunth,Mahanti P. K.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45718-6_38

Reference6 articles.

1. Kasabov N and Qun Song, Dynamic Evolving Fuzzy Neural Networks with ‘m-out-of-n’ Activation Nodes for On-line Adaptive Systems, Technical Report TR99/04, Department of information science, University of Otago, 1999.

2. Duszak Z and Loczkodaj W W, Using Principal Component Transformation in Machine Learning, Proceedings of International Conference on Systems Research, Informatics and Cybernetics, Baden-Baden Germany, p.p 125–129, 1994.

3. Zadeh LA, Roles of Soft Computing and Fuzzy Logic in the Conception, Design and Deployment of Information/Intelligent Systems, Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications, O Kaynak, LA Zadeh, B Turksen, IJ Rudas (Eds.), pp1–9, 1998.

4. [5]Abraham A & Nath B, Designing Optimal Neuro-Fuzzy Systems for Intelligent Control, In proceedings of the Sixth International Conference on Control Automation Robotics Computer Vision, (ICARCV 2000), Singapore, December 2000.

5. Moller A F, A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning, Neural Networks, Volume (6), pp. 525–533, 1993.

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