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Neurocomputing strategies in structural design — on analysing weights of feedforward neural networks

https://doi.org/10.1007/bf01742708
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf01759921openalex-snapshot
Structural optimization with crashworthiness constraints
inferredcites →https://doi.org/10.1007/bf01759922openalex-snapshot
Applications of artificial neural nets in structural mechanics
inferredcites →https://doi.org/10.1016/0045-7949(91)90178-oopenalex-snapshot
Neurobiological computational models in structural analysis and design
inferredcites →https://doi.org/10.1016/0045-7949(92)90132-jopenalex-snapshot
Use of neural networks in detection of structural damage
inferredcites →https://doi.org/10.1016/0893-6080(89)90020-8openalex-snapshot
Multilayer feedforward networks are universal approximators
inferredcites →https://doi.org/10.1016/0956-0521(91)90050-fopenalex-snapshot
Neural network based decomposition in optimal structural synthesis
inferredcites →https://doi.org/10.1109/ijcnn.1989.118509openalex-snapshot
Dynamic node creation in backpropagation networks
inferredcites →https://doi.org/10.2514/6.1991-1038openalex-snapshot
Application of neural networks to preliminary structural design
inferredcites →https://doi.org/10.5555/129449.129452openalex-snapshot
Interpreting neural-network connection weights
inferredcites →https://doi.org/10.5555/70405.70408openalex-snapshot
Multilayer feedforward networks are universal approximators
inferredcites →https://doi.org/10.7551/mitpress/5237.001.0001openalex-snapshot
Parallel Distributed Processing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Genetic optimization of stiffened plates and shells
inferred← citeshttps://doi.org/10.1002/nme.446openalex-snapshot
Genetic optimization of stiffened plates without the FE mesh support
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Emergent Computational Models in Structural Analysis and Design
inferred← citeshttps://doi.org/10.1007/978-3-662-03256-5_15openalex-snapshot
Neural Network Based Extrapolation Strategies in Structural Analysis and Design
inferred← citeshttps://doi.org/10.1007/978-3-7091-2754-4_2openalex-snapshot
Stochastic Search in Discrete Structural Optimization Simulated Annealing, Genetic Algorithms and Neural Networks
inferred← citeshttps://doi.org/10.1007/s00158-009-0439-4openalex-snapshot
Data Mining based mutation function for engineering problems with mixed continuous-discrete design variables
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A metamodel using neural networks and genetic algorithms for an integrated optimal design of mechanisms
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Optimization of the cooling regime of hot-rolled complex beams
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Evolutionary Optimisation of Mechanical Structures: Towards an Integrated Optimisation
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Flexural response of RC beam strengthened with BFRP plate
inferred← citeshttps://doi.org/10.1016/j.jfranklin.2005.12.005openalex-snapshot
Modeling and simulation of shear resistance of R/C beams using artificial neural network
inferred← citeshttps://doi.org/10.1016/s0045-7825(01)00372-3openalex-snapshot
An evaluation of back-propagation neural networks for the optimal design of structural systems: Part I. Training procedures
inferred← citeshttps://doi.org/10.1016/s0045-7949(03)00320-1openalex-snapshot
A new neural network for response estimation
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Soft computing in multidisciplinary aerospace design—new directions for research
inferred← citeshttps://doi.org/10.1080/03052159908941387openalex-snapshot
EVOLUTIONARY OPTIMIZATION OF MECHANICAL STRUCTURES
inferred← citeshttps://doi.org/10.1080/12506559.1996.11509513openalex-snapshot
Approximation de calculs éléments finis par réseaux neuronaux: quelques applications en optimisation
inferred← citeshttps://doi.org/10.1080/12506559.1999.10511363openalex-snapshot
Approximation de calculs éléments finis par un nouveau réseau de neurones
inferred← citeshttps://doi.org/10.18419/opus-6489openalex-snapshot
Optimierung und Analyse von Fachwerkstrukturen durch Neuronale Netze
inferred← citeshttps://doi.org/10.2320/matertrans.me201714openalex-snapshot
Prediction of Fatigue Strength in Steels by Linear Regression and Neural Network
inferred← citeshttps://doi.org/10.2514/2.2432openalex-snapshot
Nongradient Methods in Multidisciplinary Design Optimization-Status and Potential
inferred← citeshttps://doi.org/10.2514/6.1997-1570openalex-snapshot
Non-gradient methods in MDO - Status and future directions
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Implications of artificial life simulations in structural analysis and design
inferred← citeshttps://doi.org/10.5772/5058openalex-snapshot
Evolutionary Optimisation of Mechanical Structures or Systems
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Estimation of Ship Performance at Sea Using Neural Network
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