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Book
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Chapter and Conference Paper
Identification of Load Parameters for an Elastic-Plastic Beam Basing on Dynamic Characteristics Changes
Single load parameters are identified on the base of changes of known dynamic characteristics of an elastic-plastic steel beam. It is also loaded by a control load in order not to involve characteristics of th...
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Chapter and Conference Paper
Prediction of Compaction Characteristics of Granular Soils by Neural Networks
New experimental data discussed in [5] are used in the present paper. Application of the penalized error function, Principle Data Analysis and Bayesian criterion of Maximum Marginal Likelihood enabled design a...
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Chapter
Selected Problems of Artificial Neural Networks Development
The chapter discusses selected problems of applications of Standard (deterministic) Neural Networks (SNN) but the main attention is focused on Bayesian Neural Networks (BNNs). In Sections 2 and 3 the problems ...
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Chapter and Conference Paper
Maximum of Marginal Likelihood Criterion instead of Cross-Validation for Designing of Artificial Neural Networks
The cross-validation method is commonly applied in the design of Artificial Neural Networks (ANNs). In the paper the design of ANN is related to searching for an optimal value of the regularization coefficient...
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Chapter and Conference Paper
Enforcing Boundary Conditions in Micro-macro Transition for Second Order Continuum
In recent years the multiscale computational homogenization has been extensively developed. Such macro-modelling does not require any constitutive assumptions at the macro-level. The multi-scale computational ...
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Chapter and Conference Paper
Neural Networks: New Results and Prospects of Applications in Structural Engineering
NN is a new computational tool for data processing and this tool can be characterized as a “data dependent and model free” approach. Other features of NNs correspond to their applicability in the analysis of n...
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Chapter
Neural Networks in the Identification Analysis of Structural Mechanics Problems
The Chapter is related to research carried out by the authors’ teams. The Chapter contains seven Sections and list of References. Section 1 concerns basics of selected neural networks. The main attention is pa...
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Chapter and Conference Paper
Neural Analysis of Concrete Fatigue Durability by the Neuro-Fuzzy FWNN
Two problems related to the concrete fatigue durability analysis, originated in papers [2,3] and based on the data banks taken from [1], are developed. The first problem deals with the neural simulation of the...
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Chapter and Conference Paper
Neural and Finite Element Analysis of a Plane Steel Frame Reliability by the Classical Monte Carlo Method
The paper is a continuation of [4], where a feed-forward neural network was used for generating samples in the Monte Carlo methods. The patterns for network training and testing were computed by an FEM program...
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Chapter and Conference Paper
A Fuzzy Neural Network for the Analysis of Experimental Structural Mechanics Problems
A simplified neuro-fuzzy network is formulated. The membership functions of the network weights are computed on the base of learning the single patterns. The network is applied to the interval analysis of two ...
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Chapter and Conference Paper
Neural Analysis of Concrete Shrinkage
Results of tests on laboratory specimens were selected from the data bank described in [4]. The tests on concrete plates concerning the shrinkage strains up to 435 days at nearly stationary humidity and temper...
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Chapter and Conference Paper
Reliability Analysis of Structures by Neural Network Supported Monte Carlo Methods
A forward neural network is used for generating samples in the Monte Carlo Methods. The patterns for network training and testing are computed by a FE program. A high numerical efficiency of the proposed appro...
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Book and Conference Proceedings
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Chapter and Conference Paper
Neutral and Shakedown-Type Domains for Axisymmetric Plates and Shells under Cycles of Pressure and Temperature
Incremental equations for elastic-plastic material with combined isotropic-kinematic strain-hardening and equations of large deflections of shells of revolution are used. The shooting method is applied to inte...