Artificial neural networks (ANN) – structures

Authors & references

Edited by:

Professor Emeritus Kauko Leiviskä, University of Oulu

Based on: Leiviskä, K., Methods (Chapter 3). In: Leiviskä, K. (ed), Process and Maintenance Management, (Book 14), Papermaking Science and Technology. 2nd edition. Jyväskylä, 2009, Paper Engineer’s Association/Paperi ja Puu Oy. pp. 28–71.

References:

1. Dayhoff, J. E. 1990. Neural network architectures. Van Nostrand Reinhold, New York. 259 p.
2. Broomhead, D. S. and Lowe, David 1988. Multivariable functional interpolation and adaptive networks. Complex Systems 2: 321–355.
3. Wikipedia contributors. “Radial basis function network” Wikipedia, The Free Encyclopedia. Wikipedia, The Free Encyclopedia, 18 March 2019. [Online] Availablfe from: https://en.wikipedia.org/wiki/Radial_basis_function_network [Accessed 16^th March 2020].
4. Elman, J. L. 1990. Finding Structure in Time. Cognitive Science 14 (2):179-211.
5. Kohonen, T. 1987. Self-Organization and Associative Memory. 2nd edition, Springer, Berlin, 1987.
6. Sutton, R.S. and Barto A.G. 2018, Reinforcement Learning: An Introduction, Second Edition, MIT Press, Cambridge, MA.
7. Hoskins, J.C. and Himmelblau, D.M. 1992. Process control via artificial neural networks and reinforcement learning. Computers & Chemical Engineering 16(4):241–251.