Evaluation of PNN pattern-layer activation function approximations in different training setups

Author:

Dukov Nikolay T.,Ganchev Todor D.ORCID,Vrahatis Michael N.

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

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2. Akhmetov, Y., & James, A.P. (2019). Probabilistic neural network with memristive crossbar circuits. In 2019 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 1–5). https://doi.org/10.1109/ISCAS.2019.8702153

3. Alshurafa, N., Eastwood, J., Pourhomayoun, M., Liu, J.J., & Sarrafzadeh, M. (2014). Remote health monitoring: Predicting outcome success based on contextual features for cardiovascular disease. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1777–1781). https://doi.org/10.1109/EMBC.2014.6943953

4. Behera, M., Fowler, E. E., Owonikoko, T. K., Land, W. H., Mayfield, W., Chen, Z., et al. (2011). Statistical learning methods as a preprocessing step for survival analysis: Evaluation of concept using lung cancer data. BioMedical Engineering OnLine, 10(1), 97. https://doi.org/10.1186/1475-925X-10-97 .

5. Birk, M., Balzer, M., Ruiter, N., & Becker, J. (2012). Comparison of processing performance and architectural efficiency metrics for FPGAs and GPUs in 3D ultrasound computer tomography. In 2012 International Conference on Reconfigurable Computing and FPGAs (pp. 1–7). https://doi.org/10.1109/ReConFig.2012.6416735

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