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Hybrid ANN optimized artificial fish swarm algorithm based classifier for classification of suspicious lesions in breast DCE-MRI

, Ma JW. An improved artificial fish-swarm algorithm and its application in feed-forward neural networks. In Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on 2005 Aug 18 (Vol. 5, pp. 2890-2894). IEEE. [34] Azad MA, Rocha AM, Fernandes EM. Improved binary artificial fish swarm algorithm for the 0–1 multidimensional knapsack problems. Swarm and Evolutionary Computation. 2014;14:66-75. [35] Sathya J, Geetha K. Automtic segmentation of lesion from breast DCE-MR image using artificial fish swarm optimization algorithm

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Automatic segmentation of lesion from breast DCE-MR image using artificial fish swarm optimization algorithm

al. The optimization of DNA encoding sequences based on improved AFS algorithms. 2007 IEEE International Conference on Automation and Logistics. Jinan. 2007;1141-1144. [30] Azad MA, Rocha AM, Fernandes EM. Improved binary artificial fish swarm algorithm for the 0-1 multidimensional knapsack problems. Swarm and Evolutionary Computation. 2014;14:66-75. [31] Janaki Sathya D, Geetha K. Comparative study of different edge enhancement filters in spatial domain for magnetic resonance images. AMSE Journal. 2011

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A single differential equation description of membrane properties underlying the action potential and the axon electric field

://doi.org/10.1016/0025-5564(67)90026-0 18 W. Rall, Core Conductor Theory and Cable Properties of Neurons: Handbook of Physiology, the Nervous System, Cellular Biology of Neurons (American Physiological Society, 1977), pp. 39-93. Rall W. Core Conductor Theory and Cable Properties of Neurons: Handbook of Physiology, the Nervous System, Cellular Biology of Neurons American Physiological Society 1977 39 93 19 R. West, E. Schutter, G. Wilcox, in The IMA Volumes in Mathematics and its Applications: Evolutionary Algorithms, L.D. Davis et al., Eds. (Springer, New

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