Stability Analysis of Neural Network Models in Engineering Design
Trayan Ganev Stamov
Trayan Ganev Stamov*, Department of Machine Elements and Non-metallic Construction, Technical University of Sofia, Sofia, Bulgaria.
Manuscript received on May 06, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 1862-1866 | Volume-9 Issue-5, June 2020. | Retrieval Number: C5562029320/2020©BEIESP | DOI: 10.35940/ijeat.C5562.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper neural networks applications in engineering design are discussed. The question for stability of their steady states is also considered. Some new efficient criteria are proposed. Since neural networks are relevant systems applied in various engineering design tasks, including many optimization and control problems, the results can be useful in design of such systems of diverse interest.
Keywords: Engineering design, neural networks, stability.