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ORCIDNeural Networks, Volume 50
Volume 50, February 2014
- Paulo Renato A. Firmino
, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira:
Correcting and combining time series forecasters. 1-11 - Eshan Sobhani-Tehrani, Heidar A. Talebi, Khashayar Khorasani:
Hybrid fault diagnosis of nonlinear systems using neural parameter estimators. 12-32
- Yu Chen, Xiaohong Xu:
Supervised orthogonal discriminant subspace projects learning for face recognition. 33-46
- Jouni Puuronen, Aapo Hyvärinen:
A Bayesian inverse solution using independent component analysis. 47-59
- Manuel Fernández Delgado, Eva Cernadas, Senén Barro, Jorge Ribeiro, José Neves:
Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation. 60-71 - Wei Wu, Qin-wei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu:
Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks. 72-78
- Guocheng Li, Zheng Yan, Jun Wang:
A one-layer recurrent neural network for constrained nonsmooth invex optimization. 79-89
- Feilong Cao, Tenghui Dai, Yongquan Zhang, Yuanpeng Tan:
Compressed classification learning with Markov chain samples. 90-97
- Ancai Zhang, Jianlong Qiu, Jin-Hua She:
Existence and global exponential stability of periodic solution for high-order discrete-time BAM neural networks. 98-109
- Marthinus Christoffel du Plessis, Masashi Sugiyama:
Semi-supervised learning of class balance under class-prior change by distribution matching. 110-119
- Bipul Luitel, Ganesh Kumar Venayagamoorthy:
Cellular computational networks - A scalable architecture for learning the dynamics of large networked systems. 120-123
- Benoît Frénay, Michel Verleysen:
Pointwise probability reinforcements for robust statistical inference. 124-141 - Haijin Fan, Qing Song:
A linear recurrent kernel online learning algorithm with sparse updates. 142-153
- Yahya Forghani, Hadi Sadoghi Yazdi:
Robust support vector machine-trained fuzzy system. 154-165 - Yingjie Tian, Yuan Ping:
Large-scale linear nonparallel support vector machine solver. 166-174 - Isaac Chairez:
Finite time convergent learning law for continuous neural networks. 175-182
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