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TL;DR: It is shown that functional networks are more efficient and powerful and take much less computer time as compared to predictions by conventional neural networks such as the back-propagation network.
Abstract: In this paper, functional networks (FN) proposed by Castillo as an alternative to neural networks are discussed. Unlike neural networks, the functions are learned instead of weights. In general, topology is selected based on data, domain knowledge (properties of the function such as associativity, commutativity, and invariance), or a combination of the two. The object of this paper is to show the application of some functional network architectures to model and predict the behavior of structural systems which are otherwise modeled in terms of differential or difference equations or in terms of neural networks. In this paper, four examples in structural engineering and one example in mathematics are discussed. The results obtained by functional networks are compared with those obtained by neural networks for the first four examples, and it is shown that functional networks are more efficient and powerful and take much less computer time as compared to predictions by conventional neural networks such as the back-propagation network.
19 citations
TL;DR: Cell proliferation studies confirmed that CS/HMP/AgNPs is biocompatible and can be used as a wound dressing material.
19 citations
TL;DR: In this paper, the combined impact of electrospinning, carbon nanofiber (CNF) addition and electrical poling in the polyvinylidene fluoride (PVDF) polymer on its beta phase transition and enhancement of piezoelectric effect was reported.
19 citations
TL;DR: In this paper, the shape functions for nodal variables of an arbitrarily non-uniform curved arch element including the effects of shear deformation and extensibility of the neutral axis, considering axially functionally graded material were derived.
19 citations
TL;DR: In this paper, the authors have adopted the MOF assisted method to prepare magnetic CuFe2O4 using the Fe containing-Prussian blue MOF cubes, and the synthesized material has been systematically characterized to evaluate the structural properties by X-ray diffraction studies (XRD), morphological properties by scanning electron microscopy (SEM) and optical properties using UV-vis diffuse reflectance spectroscopy (UV-vis DRS).
19 citations
Authors
Showing all 3174 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Mohan K. Balasubramanian | 47 | 130 | 6238 |
| Dong-Sheng Jeng | 45 | 398 | 7548 |
| Bruce H. Thomas | 43 | 274 | 6662 |
| S. Vinodh | 41 | 239 | 5610 |
| S. G. Ponnambalam | 33 | 186 | 3573 |
| V.S. Raja | 29 | 119 | 2745 |
| Bheemappa Suresha | 26 | 148 | 2213 |
| S. Basavarajappa | 26 | 92 | 2672 |
| Periasamy Viswanathamurthi | 25 | 92 | 2443 |
| N. Jawahar | 25 | 69 | 1812 |
| Ram Ramesh | 24 | 129 | 1966 |
| Sundaramoorthy Rajasekaran | 24 | 52 | 1659 |
| S.R. Devadasan | 23 | 30 | 1148 |
| Sam Anand | 23 | 86 | 1698 |
| R. Balasundaraprabhu | 23 | 59 | 1375 |