An evolutionary artificial neural networks approach for breast cancer diagnosis
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[1] Filippo Menczer,et al. Evidence of hyperplanes in the genetic learning of neural networks , 2004, Biological Cybernetics.
[2] C. Floyd,et al. Prediction of breast cancer malignancy using an artificial neural network , 1994, Cancer.
[3] R. Storn,et al. Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .
[4] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[5] Huan Liu,et al. Understanding Neural Networks via Rule Extraction , 1995, IJCAI.
[6] David B. Fogel,et al. Alternative Neural Network Training Methods , 1995, IEEE Expert.
[7] Xin Yao,et al. Making use of population information in evolutionary artificial neural networks , 1998, IEEE Trans. Syst. Man Cybern. Part B.
[8] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[9] Rudy Setiono,et al. Generating concise and accurate classification rules for breast cancer diagnosis , 2000, Artif. Intell. Medicine.
[10] James F. Frenzel,et al. Training product unit neural networks with genetic algorithms , 1993, IEEE Expert.
[11] E. Ross. Association , 1886, American Journal of Sociology.
[12] Hussein A. Abbass,et al. C-Net: A Method for Generating Non-deterministic and Dynamic Multivariate Decision Trees , 2001, Knowledge and Information Systems.
[13] Oded Maimon,et al. A Distributed Genetic Algorithm for Neural Network Design and Training , 1992, Complex Syst..
[14] Christian Lebiere,et al. The Cascade-Correlation Learning Architecture , 1989, NIPS.
[15] Yann LeCun,et al. Optimal Brain Damage , 1989, NIPS.
[16] Xin Yao,et al. A new evolutionary system for evolving artificial neural networks , 1997, IEEE Trans. Neural Networks.
[17] Xin Yao,et al. Towards designing artificial neural networks by evolution , 1998 .
[18] E C Wasson,et al. A step toward computer-assisted mammography using evolutionary programming and neural networks. , 1997, Cancer letters.
[19] PoliRiccardo,et al. Evolving the Topology and the Weights of Neural Networks Using a Dual Representation , 1998 .
[20] P. Werbos,et al. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .
[21] Vittorio Maniezzo,et al. Genetic evolution of the topology and weight distribution of neural networks , 1994, IEEE Trans. Neural Networks.
[22] Hiroaki Kitano,et al. Designing Neural Networks Using Genetic Algorithms with Graph Generation System , 1990, Complex Syst..
[23] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .
[24] Pablo Moscato,et al. Memetic algorithms: a short introduction , 1999 .
[25] D B Fogel,et al. Evolving neural networks for detecting breast cancer. , 1995, Cancer letters.
[26] Y. Wu,et al. Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer. , 1993, Radiology.
[27] O. Mangasarian,et al. Multisurface method of pattern separation for medical diagnosis applied to breast cytology. , 1990, Proceedings of the National Academy of Sciences of the United States of America.
[28] Wei Yan,et al. A hybrid genetic/BP algorithm and its application for radar target classification , 1997, Proceedings of the IEEE 1997 National Aerospace and Electronics Conference. NAECON 1997.
[29] R. Setiono. Extracting Rules from Pruned Neural Networks for Breast Cancer Diagnosis , 1996 .
[30] X. Yao. Evolving Artificial Neural Networks , 1999 .
[31] Stefan Bornholdt,et al. General asymmetric neural networks and structure design by genetic algorithms: a learning rule for temporal patterns , 1992, Proceedings of IEEE Systems Man and Cybernetics Conference - SMC.
[32] Dimitri P. Bertsekas,et al. Nonlinear Programming , 1997 .
[33] Xin Yao,et al. A review of evolutionary artificial neural networks , 1993, Int. J. Intell. Syst..
[34] Christopher J. Merz,et al. UCI Repository of Machine Learning Databases , 1996 .
[35] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[36] K. Schittkowski,et al. NONLINEAR PROGRAMMING , 2022 .
[37] Parag C. Pendharkar,et al. Association, statistical, mathematical and neural approaches for mining breast cancer patterns , 1999 .
[38] Mann A. Shoffner,et al. Application of backpropagation neural networks to diagnosis of breast and ovarian cancer. , 1994, Cancer letters.
[39] Huan Liu,et al. NeuroLinear: From neural networks to oblique decision rules , 1997, Neurocomputing.
[40] Drasko Furundzic,et al. Neural networks approach to early breast cancer detection , 1998, J. Syst. Archit..