Copyright
©The Author(s) 2021.
World J Gastroenterol. Jun 7, 2021; 27(21): 2681-2709
Published online Jun 7, 2021. doi: 10.3748/wjg.v27.i21.2681
Published online Jun 7, 2021. doi: 10.3748/wjg.v27.i21.2681
Category | Feedforward neural network | Feedback neural network |
Signal direction | Unidirectional | Unidirectional/bidirectional |
Operation time | Short | Long |
Feedback by output signal | No | Yes |
Structural complexity | Simple | Complicated |
Memory time | Short-term or none | Long-term |
Applied ranges in medicine | Wide | Limited |
Application | Perceptron network, back propagation network, radial basis function network | Recurrent neural network, Hopfieid network, Boltzmann machine |
- Citation: Cao B, Zhang KC, Wei B, Chen L. Status quo and future prospects of artificial neural network from the perspective of gastroenterologists. World J Gastroenterol 2021; 27(21): 2681-2709
- URL: https://www.wjgnet.com/1007-9327/full/v27/i21/2681.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i21.2681