Journal of Engineering Mechanics, ASCE
v.117
no.1
Knowledge-based modelling of material behavior with neural networks
Ghaboussi,J.;Garrett,J.H.;Wu,X.
ACI Journal
v.66
no.8
Behavior of concrete under biaxial stresses
Kupfer,H.;Hubert,K.;Hilsdorf,K.
Proceeding on Numerical Modes in Goemechanics-NUMOG VII
On the use of Neuronets for Simulating the Stress-Strain Behavior of Soils
Najjar,Y.M.;Basheer,I.A.;Ali,H.E.;Pande,Pietruszczak(ed.)Schweiger,Rotterdam(ed.)
Proc. 13th Conference of Int. Soc. Soil Mechanics and Foundation Engineering
v.4
Rate dependant behavior of clays using neural networks
Penumadu,D.;Jin-Nan,K.L.;Chameau,J.L.;Arumugam,S.
Int. J. Solid Structures
v.24
no.7
An elastoplastic constitutive model for concrete
Pietruszczak,S.;Jiang,J.;Mirza,F.A.
Neural Networks
v.11
Automatic early stopping using cross validation : quantifying the criteria
Prechelt,L.
Proceedings of the IEEE International Conference on Neural Networks
A direct adaptive method for faster backpropagation learning: the RPROP algorithm
Riedmiller,M.;Braun,H.
Proceeding of The Eighth International Symposium on Numerical Models in Geomechanics(NUMOG VIII)
Enhancement of data for training neural network based constitutive models for geomaterials
Shin,H.S.;Pande,G.N.;G.N.Pande(ed);S.Pietruszczak(ed)
Ph.D thesis : C/Ph/250/01, Department of Civil Engineeing, University of Wales Suansea
Neural network based constitutive models for finite element analysis
Shin,H.S.
Proceeding of Asian-Pacific Conference for Computational Mechanics(APVOM'01)
Intelligent finite elements
Shin,H.S.;Pande,G.N.;S.Valliappan(ed.);N.Khalili(ed.)
Cpmputers and Geotechnics
v.27
On self-learning finite element codes based on monitored response of structures
Shin,H.S.;Pande,G.N.
Finite element method (fifth edition)
v.1-3
Zienkiewicz,O.C.;Taylor,R.L.