neurocomputing


Also found in: Wikipedia.

neurocomputing

(ˌnjʊərəʊkəmˈpjuːtɪŋ)
n
(Computer Science) computing that makes use of neural networks
References in periodicals archive ?
Jo, "Body part boosting model for carried baggage detection and classification," Neurocomputing, vol.
3] Aguilar, Jose: "A Color Pattern Recognition Problem Based on the Multiple Classes Random Neural Network Model", Neurocomputing (special issue: Hybrid Neurocomputing), Elsevier, 61, 71-83, 2004.
K, Gurkan, A Spiking and Bursting Neuron Circuit Based On Memristor, Neurocomputing, 86-91, 2016.
Early diagnosis of Alzheimer' s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images," Neurocomputing, vol.
Wavelet feature extraction for high--dimensional microarray data Elsevier Neurocomputing, 72: 985-990.
Huang (2014), An improved Gene Expression Programming approach for symbolic regression problems, Neurocomputing, Elsevier, vol.
Madabhushi, "A deep convolutional neural network for segmenting and classifying epithelial and stromal regions in histopathological images", Neurocomputing, vol.
That study, published in Neurocomputing, used only words rather than images and was able to identify each person with 97 percent accuracy.
In 1992, the SIG on Neurocomputing was established under the Korea Society for Information Science.
In their original study, titled "Brainprint," published in 2015 in Neurocomputing, the research team was able to identify one person out of a group of 32 by that person's responses, with only 97 percent accuracy, and that study only incorporated words, not images.
Zhu, "A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise," Neurocomputing, vol.