Neural network-based colonoscopic diagnosis using on-line learning and differential evolution

Author:

Magoulas George D,Plagianakos Vassilis P,Vrahatis Michael N

Publisher

Elsevier BV

Subject

Software

Reference35 articles.

1. L.B. Almeida, T. Langlois, J.D. Amaral, A. Plankhov, Parameter adaptation in stochastic optimisation, in: D. Saad (Ed.), Proceedings of the On-line Learning in Neural Networks, Cambridge University Press, 1998, pp. 111–134.

2. P. Angeline, Tracking extrema in dynamic environments, in: Proceedings of the Sixth Annual Conference on Evolutionary Programming VI, Springer, 1997, pp. 335–345.

3. D. Anguita, Smart adaptive systems: state of the art and future directions of research, in: Proceedings of the European Symposium on Intelligent Technologies, Hybrid Systems and their Implementation on Smart Adaptive Systems-EUNITE 2001, Tenerife, Spain, 2001, pp. 1–4.

4. First- and second-order methods for learning: between steepest descent and Newton’s method;Battiti;Neural Comput.,1992

5. P.M. Delaney, G.D. Papworth, R.G. King, Fibre optic confocal imaging (FOCI) for in vivo subsurface microscopy of the colon, in: V.R. Preedy, R.R. Watson (Eds.), Methods in Disease: Investigating the Gastrointestinal Tract, Greenwich Medical Media, London, UK, 1998.

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