L
Laszlo Berke
Researcher at Glenn Research Center
Publications - 50
Citations - 1453
Laszlo Berke is an academic researcher from Glenn Research Center. The author has contributed to research in topics: Artificial neural network & Finite element method. The author has an hindex of 17, co-authored 50 publications receiving 1382 citations.
Papers
More filters
Journal ArticleDOI
Analysis of uncertain structural systems using interval analysis
Singiresu S. Rao,Laszlo Berke +1 more
TL;DR: In this article, an interval truncation approach is proposed to limit the growth of intervals of response parameters so that realistic and accurate solutions can be obtained in the presence of large amounts of uncertainty.
Journal ArticleDOI
Neurobiological computational models in structural analysis and design
Prabhat Hajela,Laszlo Berke +1 more
TL;DR: An overview of the neural computing approach is presented, with special emphasis on supervised learning techniques adopted in the present work, which provide computationally efficient capabilities for reanalysis and appear to be well suited for application in numerical optimum design.
Proceedings ArticleDOI
Neural networks in structural analysis and design - An overview
Prabhat Hajela,Laszlo Berke +1 more
TL;DR: An overview of the state-of-the-art in this emerging field of neural networks, including a survey of published applications in structural engineering, is provided.
Proceedings ArticleDOI
Neurobiological computational models in structural analysis and design
Prabhat Hajela,Laszlo Berke +1 more
TL;DR: In this paper, the role of neural computing strategies in structural analysis and design is examined, with a focus on the use of neural networks to represent the force-displacement relationship in static structural analysis.
Journal ArticleDOI
Optimum Design of Aerospace Structural Components Using Neural Networks
TL;DR: The application of artificial neural networks to capture structural design expertise is demonstrated and neural net prediction of optimum designs was found to be satisfactory for the majority of the output design parameters.