Networks and Chaos - Statistical and Probabilistic Aspects
By Jens Ledet Jensen, Ole E. Barndorff-Nielsen, Wilfrid S. Kendall. 1993
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- V. Chen
- Kwok Leung Tsui
- Russell R. Barton
- Martin Meckesheimer
- Sayan Mukherjee
- Natesh S. Pillai
- Yangyang Fan
- Lei Zhou
Citations in the corpus
- A review on design, modeling and applications of computer experiments (2006, background): “ANN models have been very popular for modeling a variety of physical relationships (for a general introduction see Lippmann (1987) or Haykin (1999), for statistical perspectives see White (1989), Barron et al. (1992), Ripley (1993), or Cheng and Titterington (1994)).”
- How many hidden layers and nodes? (2009, methodology): “The estimate can take the form of a single exact topology to be adopted (Hecht-Nielsen 1987, Hush 1989, Wang 1994, Ripley 1993) or of a range of topologies that should be searched (Fletcher and Goss 1993, Kanellopoulos and Wilkinson 1997).”
- Statistical inference for dynamical systems: A review (2012, background): “An incomplete list of such reviews is the following: [11, 18, 26, 49, 69, 73, 92, 156, 167].”
- Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data (2021, background): “The bias neuron (B) is a special neuron added to each layer in the neural network, which is usually taken to be 1 [62].”