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Particle swarm optimization of neural network CAD systems with clinically relevant objectives.

P. Habas, J. Zurada, A. Elmaghraby, and G. Tourassi. Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65140M. SPIE, (2007)

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Discrete-Time Recurrent Neural Networks With Complex-Valued Linear Threshold Neurons.W. Zhou, and J. Zurada. IEEE Trans. on Circuits and Systems, 56-II (8): 669-673 (2009)An Approach to Multimodal Biomedical Image Registration Utilizing Particle Swarm Optimization.M. Wachowiak, R. Smolíkova, Y. Zheng, J. Zurada, and A. Elmaghraby. IEEE Trans. Evolutionary Computation, 8 (3): 289-301 (2004)RBF-based neurodynamic nearest neighbor classification in real pattern space.M. Müezzinoglu, and J. Zurada. Pattern Recognition, 39 (5): 747-760 (2006)Solving decentralized multi-agent control problems with genetic algorithms.M. Mazurowski, and J. Zurada. IEEE Congress on Evolutionary Computation, page 1029-1034. IEEE, (2007)Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons.J. Zurada, and I. Aizenberg. IDC, volume 78 of Studies in Computational Intelligence, page 41-50. Springer, (2007)Extraction of rules from artificial neural networks for nonlinear regression.R. Setiono, W. Leow, and J. Zurada. IEEE Trans. Neural Networks, 13 (3): 564-577 (2002)Sensitivity Analysis for Minimization of Input Data Dimension for Feedforward Neural Network.J. Zurada, A. Malinowski, and I. Cloete. ISCAS, page 447-450. IEEE, (1994)3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization.E. Hosseini-Asl, J. Zurada, G. Gimel'farb, and A. El-Baz. IEEE Trans. Biomed. Engineering, 63 (5): 952-963 (2016)Convergence analyses on sparse feedforward neural networks via group lasso regularization.J. Wang, Q. Cai, Q. Chang, and J. Zurada. Inf. Sci., (2017)Generalized Hopfield networks for associative memories with multi-valued stable states.J. Zurada, I. Cloete, and E. van der Poel. Neurocomputing, 13 (2-4): 135-149 (1996)