The mechanism that causes the output nodes of feedforward multilayer networks mapped with sigmoid functions to prematurely saturate during backpropagation training are described. The necessary conditions for the occurrence of this undesirable phenomenon are also presented. Simulation results demonstrate the adequacy of the presented necessary conditions.
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Argonne National Lab., IL (United States)
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Illinois
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Description
The mechanism that causes the output nodes of feedforward multilayer networks mapped with sigmoid functions to prematurely saturate during backpropagation training are described. The necessary conditions for the occurrence of this undesirable phenomenon are also presented. Simulation results demonstrate the adequacy of the presented necessary conditions.
Physical Description
6 p.
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OSTI as DE94012464; Paper copy available at OSTI: phone, 865-576-8401, or email, reports@adonis.osti.gov
Institute of Electrical and Electronic Engineers (IEEE) world congress on computational intelligence,Lake Buena Vista, FL (United States),28 Jun - 2 Jul 1994
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Vitela, J. E. & Reifman, J.The causes for premature saturation with backpropagation training,
article,
June 1, 1994;
Illinois.
(https://digital.library.unt.edu/ark:/67531/metadc1312638/:
accessed April 24, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
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