Fuzzy Evolutionary Probabilistic Neural Networks
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[1] Jiun-Hung Chen,et al. Fuzzy kernel perceptron , 2002, IEEE Trans. Neural Networks.
[2] Todor Ganchev,et al. Locally Recurrent Probabilistic Neural Networks with Application to Speaker Verification , 2004 .
[3] Chenn-Jung Huang. A PERFORMANCE ANALYSIS OF CANCER CLASSIFICATION USING FEATURE EXTRACTION AND PROBABILISTIC NEURAL NETWORKS , 2002 .
[4] Dimitris K. Tasoulis,et al. Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification , 2007, Neurocomputing.
[5] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[6] Nicos G. Pavlidis,et al. New Self-adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks , 2006, Int. J. Artif. Intell. Tools.
[7] Donald F. Specht,et al. Probabilistic neural networks , 1990, Neural Networks.
[8] Eibe Frank,et al. Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms , 2004, PAKDD.
[9] David J. Hand,et al. Kernel Discriminant Analysis , 1983 .
[10] Allen I. Selverston,et al. A consideration of invertebrate central pattern generators as computational data bases , 1988, Neural Networks.
[11] James M. Keller,et al. Incorporating Fuzzy Membership Functions into the Perceptron Algorithm , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Michael N. Vrahatis,et al. Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities , 2008, Neural Processing Letters.
[13] Mohammad Bagher Menhaj,et al. Fuzzy Probabilistic Neural Networks: A Practical Approach to the Implementation of Baysian Classifier , 2001, Fuzzy Days.
[14] Yoshua Bengio,et al. Inference for the Generalization Error , 1999, Machine Learning.
[15] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[16] Michael N. Vrahatis,et al. Recent approaches to global optimization problems through Particle Swarm Optimization , 2002, Natural Computing.
[17] Lutz Prechelt,et al. PROBEN 1 - a set of benchmarks and benchmarking rules for neural network training algorithms , 1994 .
[18] Ioan Cristian Trelea,et al. The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..
[19] Alan F. Murray,et al. IEEE International Conference on Neural Networks , 1997 .
[20] Jian Guo,et al. A Novel Method for Protein Subcellular Localization Based on Boosting and Probabilistic Neural Network , 2004, APBC.
[21] Gopal Kanji,et al. 100 Statistical Tests , 1994 .
[22] Michael N. Vrahatis,et al. On the computation of all global minimizers through particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[23] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[24] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[25] Lotfi A. Zadeh,et al. Fuzzy Logic , 2009, Encyclopedia of Complexity and Systems Science.
[26] James Kennedy,et al. Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.