Improving the Fuzzy Min-Max neural network performance with an ensemble of clustering trees
暂无分享,去创建一个
[1] Yong Li,et al. Integrated dynamic evaluation of depletion-drive performance in naturally fractured-vuggy carbonate reservoirs using DPSO–FCM clustering , 2016 .
[2] C. D. Smothers,et al. Comparison of arithmetic and geometric means as measures of a central tendency in cattle nematode populations. , 1999, Veterinary parasitology.
[3] Bo Jiang,et al. Bi-level weighted multi-view clustering via hybrid particle swarm optimization , 2016, Inf. Process. Manag..
[4] Raymond J. Mooney,et al. Combining Bias and Variance Reduction Techniques for Regression Trees , 2005, ECML.
[5] Abdolreza Mirzaei,et al. A hierarchical clusterer ensemble method based on boosting theory , 2013, Knowl. Based Syst..
[6] Ekrem Duman,et al. A profit-driven Artificial Neural Network (ANN) with applications to fraud detection and direct marketing , 2016, Neurocomputing.
[7] Subrahmanyam Pulipaka,et al. Power prediction of soiled PV module with neural networks using hybrid data clustering and division techniques , 2016 .
[8] Ahmed Hamza Osman,et al. Enhancement of spam detection mechanism based on hybrid $$\varvec{k}$$k-mean clustering and support vector machine , 2015, Soft Comput..
[9] Friedhelm Schwenker,et al. Selective neural network ensembles in reinforcement learning: Taking the advantage of many agents , 2015, Neurocomputing.
[10] Abdolreza Mirzaei,et al. A Novel Hierarchical-Clustering-Combination Scheme Based on Fuzzy-Similarity Relations , 2010, IEEE Transactions on Fuzzy Systems.
[11] Hamit Erdal,et al. Bagging ensemble models for bank profitability: An emprical research on Turkish development and investment banks , 2016, Appl. Soft Comput..
[12] Yong Peng,et al. An unsupervised discriminative extreme learning machine and its applications to data clustering , 2016, Neurocomputing.
[13] Antanas Verikas,et al. Mining data with random forests: A survey and results of new tests , 2011, Pattern Recognit..
[14] Chee Peng Lim,et al. Power Quality Analysis Using a Hybrid Model of the Fuzzy Min–Max Neural Network and Clustering Tree , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[15] Ren-long Zhang,et al. A novel fuzzy hybrid quantum artificial immune clustering algorithm based on cloud model , 2014, Eng. Appl. Artif. Intell..
[16] Serge Guillaume,et al. DENDIS: A new density-based sampling for clustering algorithm , 2016, Expert Syst. Appl..
[17] Hong Gu,et al. A hybrid genetic algorithm–fuzzy c-means approach for incomplete data clustering based on nearest-neighbor intervals , 2013, Soft Comput..
[18] Patrick K. Simpson,et al. Fuzzy min-max neural networks - Part 2: Clustering , 1993, IEEE Trans. Fuzzy Syst..
[19] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[20] Jian Zhou,et al. A modified hybrid method of spatial credibilistic clustering and particle swarm optimization , 2011, Soft Comput..
[21] F. Sheikholeslam,et al. Fuzzy Wavelet Neural Network With an Accelerated Hybrid Learning Algorithm , 2012, IEEE Transactions on Fuzzy Systems.
[22] Seung-Bok Choi,et al. Hybrid clustering based fuzzy structure for vibration control - Part 1: A novel algorithm for building neuro-fuzzy system , 2015 .
[23] Rasool Azimi,et al. A hybrid method based on a new clustering technique and multilayer perceptron neural networks for hourly solar radiation forecasting , 2016 .
[24] Joshua C. C. Chan,et al. Pitfalls of Estimating the Marginal Likelihood Using the Modified Harmonic Mean , 2015 .
[25] Sung-Kwun Oh,et al. Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs) , 2014, Neural Networks.
[26] Jun Sun,et al. A hybrid fuzzy K-harmonic means clustering algorithm , 2015 .
[27] Wei-Chang Yeh,et al. A novel hybrid clustering approach based on K-harmonic means using robust design , 2016, Neurocomputing.
[28] Yifan Zhou,et al. Hybrid model of clustering and kernel autoassociator for reliable vehicle type classification , 2013, Machine Vision and Applications.