Evolving Artificial Neural Network Ensembles

Author:

Islam Md. Monirul,Yao Xin

Publisher

Springer Berlin Heidelberg

Reference65 articles.

1. Abbass HA, Sarker R, Newton C 2001 PDE: A Pareto-frontier differential evolution approach for multi-objective optimization problems. In: Kim J-H (ed.) Proc. IEEE Conf. Evolutionary Computation (CEC2001), 27-30 May, Seoul, South Korea. IEEE Press, Piscataway, NJ: 971-978.

2. Abbass HA 2002 The self-adaptive Pareto differential evolution algorithm. In: Fogel DB, El-Sharkawi MA, Yao X, Greenwood G, Iba H, Marrow P, Shackleton M (eds.) Proc. IEEE Conf. Evolutionary Computation (CEC2002), 12-17 May, Honolulu, HI. IEEE Press, Piscataway, NJ: 831-836.

3. Abbass HA 2003 Speeding up backpropagation using multiobjective evolu-tionary algorithms. Neural Computation, 15(11): 2705-2726.

4. Abbass HA 2003 Pareto neuro-evolution: constructing ensemble of neural net-works using multi-objective optimization. In: Sarker R, Reynolds R, Abbass H, Tan KC, McKay B, Essam D, Gedeon T (eds.) Proc. IEEE Conf. Evolutionary Computation (CEC2003), 8-12 December, Canberra, Australia. IEEE Press, Pisctaway, NJ: 2074-2080.

5. Abbass HA 2003 Pareto neuro-ensemble. In: Gedeon TD, Chun L, Fung C (eds.) Proc. 16th Australian Joint Conf. Artificial Intelligence, 3-5 December, Perth, Australia. Springer-Verlag, Berlin: 554-566.

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