Error Weighting in Artificial Neural Networks Learning Interpreted as a Metaplasticity Model

Author:

Andina Diego,Jevtić Aleksandar,Marcano Alexis,Barrón Adame J. M.

Publisher

Springer Berlin Heidelberg

Reference6 articles.

1. Andina, D., Pham, D.T. (eds.): Computational Intelligence for Engineering and Manufacturing. Springer, Heidelberg (March 2007)

2. Godoy Simoes, M., Ropero Pelaez, J.: A computational model of synaptic metaplasticity. In: Proceedings of the International Joint Conference on Neural Networks (1999)

3. Friedrich, P., Tompa, P.: Synaptic metaplasticity and the local charge effect in postsynaptic densities. Trends in Neuroscience 3(21), 97–101 (1998)

4. Andina, D., Jevtić, A.: Improved multilayer perceptron design by weighted learning. In: Proc. of the 2007 IEEE International Symposium on Industrial Electronics, ISIE 2007, Vigo, Spain, vol. 15 (2007)

5. Alarcón, M.J., Torres-Alegre, S., Andina, D.: Behavior of a binary detector based on an ann digital implementation in the presence of seu simulations. In: Proc. of III World Multiconference on Systemics, Cybernetics and Informatics (SCI’99) and 5th International Conference on Information Systems Analysis and Synthesis (ISAS’99), Orlando, Florida, USA, July-August 1999, vol. 3, pp. 616–619 (1999)

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