pattern classificationsearch problemstime series/ derivative free search ANN training algorithmManhattan search algorithmtime seriesartificial neural network error functionCartesian coordinateminimum function valueoptimized step lengthA Manhattan search algorithm to minimize artificial neural network error function is...
Bergholm Multi-scale blur estimation and edge type classification for scene analysis International Journal of Computer Vision, 24 (1997), pp. 219-250 View in ScopusGoogle Scholar Cited by (8) Normative theory of visual receptive fields 2021, Heliyon Citation Excerpt : Furthermore, our model ...
, 1984). These compounds do not, in fact, conveniently fit into the classification created by Holmstedt (1963). What they have in common is an ability to inhibit AChE activity (Marrs, 1996). Some of the other OPs that express some AChE activity do not have a clearly define...
[6] and therefore the predicted risk for DIPL for that compound can also be calculated in silico,[5] whereby the prediction algorithm uses a DIPL risk classification defined according to the following criteria, which are based on parameters extracted from a computational training set comprising ...
By in addition performing max pooling over the multiple scale channels, a resulting network architecture for image classification also becomes provably scale invariant. We investigate the performance of such networks on the MNISTLargeScale dataset, which contains rescaled images from original MNIST over ...
Magnetic resonance image tissue classification using a partial volume model Neuroimage, 13 (2001), pp. 856-876 View PDF View article View in Scopus Google Scholar [34] Google Scholar [35] T Goldstein, X Bresson, S Osher Geometric applications of the split bregman method: segmentation and surfa...
Kernelized FCM was integrated with hybrid ACO to improve clustering in ECG data classification [31]. A dynamic fuzzy clustering approach combines ACO with a genetic algorithm, improving convergence and precision, particularly in image segmentation tasks [32]. The artificial bee colony algorithm, ...
The experimental results show that the text classification effect based on the stem unit through deep learning has a significant contrast with the traditional text classification effect, and the classification accuracy is improved by 95.39%. 3. Methods This paper proposes a multilingual stem extraction...
micromachines Article Precision Position Control of a Voice Coil Motor Using Self-Tuning Fractional Order Proportional-Integral-Derivative Control Syuan-Yi Chen * and Chen-Shuo Chia Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan; 40275022h@ntnu.edu.tw * ...