Details

Autor(en) / Beteiligte

• Li, Yudi
• Wu, Aiguo
• Dong, Na
• Du, Lijia
• Chai, Yi

Titel

Oscillation Characteristics of Feedforward Neural Networks

Ist Teil von

• 2018 13th World Congress on Intelligent Control and Automation (WCICA), 2018, p.1074-1079

Ort / Verlag

IEEE

Erscheinungsjahr

2018

Quelle

IEEE Xplore

Beschreibungen/Notizen

• Based on the physiological characteristics of the acupuncture signal transduction pathway, this paper uses the Izhikevich model and the small-world neural network to establish a feed forward neural network model to study the influence of the noise of intensity and the connection probability between layers on the oscillation characteristics of the feed forward neural network when the neurons are in the types of regular spiking and burst spiking.