Applications of pattern recognition technology

By Sam Viglione. 1994

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Chensi Cao
2. Feng Liu
3. Yiming Zhou
4. Hai Tan
5. Deshou Song
6. Michael E. Smith
7. Wenjie Shu
8. Weizhong Li

Citations in the corpus

• Deep learning in neural networks: An overview (2014, methodology): “Networks trained by the Group Method of Data Handling (GMDH) (Ivakhnenko, 1968, 1971; Ivakhnenko & Lapa, 1965; Ivakhnenko, Lapa, & McDonough, 1967) were perhaps the first DL systems of the Feedforward Multilayer Perceptron type, although there was earlier work on NNs with a single hidden layer (e.g.”
• Deep Learning and Its Applications in Biomedicine (2018, methodology): “ANNs mimicked the perception of objects by connecting artificial neurons within layers that could extract the features of objects [11–16].”
• Neurophysiological measures of cognitive workload during human-computer interaction (2003, methodology): “Pattern recognition was performed with the classic Joseph-Viglione neural network algorithm (Joseph 1961, Viglione 1970, Gevins 1980, Gevins and Morgan 1986, 1988).”