Soft computing techniques in structural and earthquake engineering: a literature review
Although civil engineering problems are often characterized by significant levels of
complexity, they are generally approached and solved by combining several practitioners' …
complexity, they are generally approached and solved by combining several practitioners' …
Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network
Reliable energy consumption forecasting can provide effective decision-making support for
planning development strategies to energy enterprises and for establishing national energy …
planning development strategies to energy enterprises and for establishing national energy …
195Pt NMR spectroscopy: A chemometric approach
The growing number of studies on platinum (II) complexes is stimulated by their importance
as antitumour chemotherapeutics. 195Pt NMR spectroscopy is a very useful tool for …
as antitumour chemotherapeutics. 195Pt NMR spectroscopy is a very useful tool for …
[HTML][HTML] Prediction of the ultimate strength of reinforced concrete beams FRP-strengthened in shear using neural networks
R Perera, M Barchín, A Arteaga, A De Diego - Composites Part B …, 2010 - Elsevier
In the last years, a great number of experimental tests have been performed to determine the
ultimate strength of reinforced concrete beams retrofitted in shear by means of externally …
ultimate strength of reinforced concrete beams retrofitted in shear by means of externally …
A cascade optimization methodology for automatic parameter identification and shape/process optimization in metal forming simulation
JP Ponthot, JP Kleinermann - Computer methods in applied mechanics …, 2006 - Elsevier
Computer simulations of metal forming processes using the finite element method (FEM)
are, today, well established. This form of simulation uses an increasing number of …
are, today, well established. This form of simulation uses an increasing number of …
Artificial intelligence techniques for prediction of the capacity of RC beams strengthened in shear with external FRP reinforcement
R Perera, A Arteaga, A De Diego - Composite Structures, 2010 - Elsevier
The prediction of the shear capacity of reinforced concrete beams retrofitted in shear by
means of externally bonded FRP is very complex as demonstrate the studies carried out up …
means of externally bonded FRP is very complex as demonstrate the studies carried out up …
Adaptive structure learning method of deep belief network using neuron generation–annihilation and layer generation
S Kamada, T Ichimura, A Hara, KJ Mackin - Neural Computing and …, 2019 - Springer
Recently, deep learning is receiving renewed attention in the field of artificial intelligence.
Deep belief network (DBN) has a deep network architecture that can represent multiple …
Deep belief network (DBN) has a deep network architecture that can represent multiple …
Bayesian regularization neural networks for optimizing fluid flow processes
K Hirschen, M Schäfer - Computer methods in applied mechanics and …, 2006 - Elsevier
This paper details the application of neural networks and evolutionary strategies for shape
optimization problems. These, commonly grouped under the name soft computing methods …
optimization problems. These, commonly grouped under the name soft computing methods …
An adaptive wavelet frame neural network method for efficient reliability analysis
Artificial neural networks (ANNs) method is widely used in reliability analysis. However, the
performance of ANNs cannot be guaranteed due to the fitting problems because there is no …
performance of ANNs cannot be guaranteed due to the fitting problems because there is no …
Finite elements using neural networks and a posteriori error
A Oishi, G Yagawa - Archives of Computational Methods in Engineering, 2021 - Springer
As the finite element method requires many nodes or elements to obtain accurate results,
the adaptive finite element method has been developed to obtain better results with fewer …
the adaptive finite element method has been developed to obtain better results with fewer …