ARTIFICIAL NEURAL NETWORK APPLICATIONS TO POWER-SYSTEMS AND THEIR RELATIONSHIP TO SYMBOLIC METHODS

[1] Rumelhard, McClelland, Parallel distributed processing, (1986)

[2] Grossberg, Studies of mind and brain: neural principles of learning, perception, development, cognition, and motor control, (1982)

[3] Kohonen, A new model for randomly organized associative memory, International Journal of Neuroscience, 5, pp. 27-29, (1973)

[4] Kohonen, Clustering, taxonomy, and topological maps of patterns, Proc. 6th Int. Conf. on Pattern Recognition, pp. 114-128, (1982)

[5] Hebb, Organization of behavior, (1949)

[6] Dillon, Morsztyn, Phua, Short term load forecasting using adaptive pattern recognition and self organising techniques, Proc 5th Power Syst. Comput. Conf., pp. 1-16, (1975)

[7] Marks, Damborg, El-Sharkawi, Atlas, Aggoune, Cohn, Artificial neural networks for power system statis security assessment, IEEE Int. Symp. Circuits Syst., pp. 490-494, (1989)

[8] Aggoune, El-Sharkawi, Park, Damborg, Marks, Preliminary results on using artificial neural networks for security assessment, Power Industry Comput. Applic. Conf., pp. 252-258, (1989)

[9] El-sharkawi, Marks, Aggoune, Park, Damborg, Atlas, Dynamic security assessment of power systems using back error propagation artificial neural networks, 2nd Symp. Expert Syst., (1989)

[10] Pao, Sobajic, Autonomous feature discovery for critical clearing time assessment, Symp. Expert Syst. Applic. Power Syst., pp. 5.22-5.27, (1988)

[1] Rumelhard, McClelland, Parallel distributed processing, (1986)

[2] Grossberg, Studies of mind and brain: neural principles of learning, perception, development, cognition, and motor control, (1982)

[3] Kohonen, A new model for randomly organized associative memory, International Journal of Neuroscience, 5, pp. 27-29, (1973)

[4] Kohonen, Clustering, taxonomy, and topological maps of patterns, Proc. 6th Int. Conf. on Pattern Recognition, pp. 114-128, (1982)

[5] Hebb, Organization of behavior, (1949)

[6] Dillon, Morsztyn, Phua, Short term load forecasting using adaptive pattern recognition and self organising techniques, Proc 5th Power Syst. Comput. Conf., pp. 1-16, (1975)

[7] Marks, Damborg, El-Sharkawi, Atlas, Aggoune, Cohn, Artificial neural networks for power system statis security assessment, IEEE Int. Symp. Circuits Syst., pp. 490-494, (1989)

[8] Aggoune, El-Sharkawi, Park, Damborg, Marks, Preliminary results on using artificial neural networks for security assessment, Power Industry Comput. Applic. Conf., pp. 252-258, (1989)

[9] El-sharkawi, Marks, Aggoune, Park, Damborg, Atlas, Dynamic security assessment of power systems using back error propagation artificial neural networks, 2nd Symp. Expert Syst., (1989)

[10] Pao, Sobajic, Autonomous feature discovery for critical clearing time assessment, Symp. Expert Syst. Applic. Power Syst., pp. 5.22-5.27, (1988)