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Cristea, A., and Okamoto, T. : `` Energy Function based on Restrictions for Supervised Learning on Feedforward Networks'', Journal IPSJ (Journal of the Information processing society of Japan), SIGMPS Transactions, vol.1, no.1 (accepted April 1998).

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Cristea, A., and Okamoto, T. : `` Neural Networks for Stock Exchange prediction with a Lyapunov-based training'', Journal JIS (Journal of Intelligent Systems), Special issue on Prediction & reasoning in neural networks, Australia (accepted August 1998, to appear beginning of 1999).

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Cristea, A., and Okamoto, T. : `` Parallelization methods for Neural Networks on different environments: Advantages and Disadvantages'', Journal of Information Science (IS), New Zealand, Elsevier, IS/2 Special Issue, (sent April 1998, accepted September 1998).

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List of Publications
Related to the Thesis:

[1] and Okamoto, T. : `` Energy Function based on Restrictions for Supervised Learning on Feedforward Networks'', Journal IPSJ (Journal of the Information processing society of Japan), SIGMPS Transactions, vol.1, no.1 (accepted April 1998).

(Chapter 4)

[2] and Okamoto, T. : `` Neural Networks for Stock Exchange prediction with a Lyapunov-based training'', Journal JIS (Journal of Intelligent Systems), Special issue on Prediction & reasoning in neural networks, Australia (accepted August 1998, to appear beginning of 1999).

(Chapter 4)

[3] and Okamoto, T. : `` A L-based Energy Function for SE Prediction'', WIRN'98, Vietri Sul Mare, Salerno, Italy, Perspectives in Neural Computing, Springer Verlag, Ed. John G. Taylor, ISBN 1-85233-051-1, pp. 304-309 (to appear October 1998).

(Chapter 4)

[4] and Okamoto, T. : `` Parallelization methods for Neural Networks on different environments: Advantages and Disadvantages'', Journal of Information Science (IS), New Zealand, Elsevier, IS/2 Special Issue, (sent April 1998, accepted September 1998).

(Chapter 8)

[5] and Okamoto, T. : `` A Parallelization Method for Neural Networks with Weak Connection Design'', ISHPC'97, Lecture Notes in Computer Science 1336, Eds. C. Polychronopoulos et Co., Springer, vol.1336, pp. 397-404 (1997).

(Chapter 8)

[6] and Okamoto, T. : `` Parallel Implementation Tool of NN on UNIX machines'', ICONIP97/ANNES97/ANZIIS97, New Zealand, "Best Student Paper Award", "Progress in Connection-Based Information Systems, Eds. R. Kozma, A. Gray, R. Kilgour, B. Woodford, Univ. Otago, pp. 21-24 (1997).

(Chapter 8)

[7] Cristea, P. and Okamoto, T. : `` Neural Network Knowledge Extraction'', Journal: Revue Roumaine des Sciences Technique, Serie EE (Electrotechn. et Energ.), vol. 42, no. 4, (Oct.-Dec.), pp. 477-491 (1997).

(Chapter 12)

[8] and Okamoto, T. : `` The Development of a Sub-Symbolic Knowledge Eliciting Environment from Feedforward Networks, serving as an Education Process Assistant'', Journal of Educational Technology Research, JET society, (sent May, conditionally accepted October, resent November)

(Chapter 12)

[9] and Okamoto, T. : `` The development of a neural network knowledge extraction environment for teaching process assistance'', ED-MEDIA/ED-TELECOM'98, 10th World Conference on Educational Multimedia and Hypermedia and 10th World Conference on Educational Telecommunications, Freiburg, Germany, 20-25 June 1998, Eds. Thomas Ottmann and Ivan Tomek, organiz. AACE, vol 1, pp. 227-232 (1998).

(Chapter 12)

[10] and Okamoto, T. : `` Sub-Symbolic Knowledge Extraction Environment for Teaching Process Assistance'', KES98, vol. 3, IEEE, pp.411 - 417 (1998).

(Chapter 12)

[11] and Okamoto, T. : `` NN for Stock Exchange prediction; a Lyapunov based training'', ICCIMA98 , Eds. Henri Selvaraj and Brijesh Verma, World Scientific, pp. 416-421 (1998).

[12] and Okamoto, T. : `` Energy function construction and Implementation for Stock Exchange prediction NNs'', KES98, vol. 3, IEEE, pp. 403-410 (1998).

[13] and Okamoto, T. : `` Deduction of an L-based energy function for SE Prediction'', ICCNS'98, Second International Conference on Cognitive and Neural Systems, Boston, USA, as abstract, pp. 119 (1998).

[14] and Okamoto, T. : `` SEE Prediction - Construction of a L-based energy function'', NC'98, International ICSC/IFAC Symposium on Neural Computation, Sept. 23-25, Vienna Univ. of Technology, Ed. M. Heiss, ICSC Academic Press, Canada/Switzerland, ISBN 3-906454-15-0, pp. 841-847 (1998).

[15] and Okamoto, T. : `` An Energy Function for Stock Exchange Prediction'', IIZUKA'98, Methodologies for the Conception, Design and Application of Soft Computing, Iizuka, Japan, Eds. T. Yamakawa, G. Matsumoto, ISBN 981-02-3966-1, pp. 622-625 (1998).

[16] and Okamoto, T. : `` The Development of a Feedforward NN for Financial Time Series Forecast'', ICONIP'98, JNNS'98, Kitakyuushu, Japan, Eds. S. Usui, T. Omori, ISBN 4-274-90256-0, pp. 1024-1027 (1998).

[17] and Okamoto, T. : `` Stock exchange Analysis as Time-Series; Forecasting with Neural Nets'', Tech. Rep. IEICE, AI-96, Japan, vol. 96, no. 594, pp.9 - 16, (1997).

Author's Biography

Miss Alexandra Cristea was born in Bucharest, Romania, on the 24th of August, 1971. She studied for her Master-thesis at the Technical University of Denmark, Lyngby, in 1994, sponsored by a Tempus grant, and received the Master of Eng. title in 1994 from the Faculty of Computer Science, "Politehnica" University of Bucharest, Romania. After graduation she has been employed as an assistant at the Faculty of Computer Science, giving seminars in Neural Networks, Computer Networks, Programming Languages and Artificial Intelligence. From April 1996 she has entered the Doctor course at the Laboratory of Artificial Intelligence and Knowledge Engineering, Graduate School of Information Systems, University of Electro-Communications, Japan, and has been doing her research sponsored by a grant offered by the Japanese Ministry of Education. She also received the MBA title in 1997 from the Faculty of Economical Engineering, Department of Engineering Sciences, "Politehnica" University of Bucharest, Romania, in collaboration with the Technische Hochschule Darmstadt (THD), Germany. She has been an ACE member and is a student member of IEICE (Institute of Electronics, Information and Communication Engineers), IEEE and IEEE Computer Society. She has received the "Best Student (Oral) Paper Award" at the International Conference ICONIP'97, in New Zealand. She is a member of the Romanian-Japanese cooperation project with the theme "Knowledge Extraction from Neural Networks".