Multi-Objective Training of Neural Networks
暂无分享,去创建一个
Manuel P. Cuéllar | Miguel Delgado | Maria del Carmen Pegalajar Jiménez | M. P. Cuéllar | M. Delgado
[1] Maria del Carmen Pegalajar Jiménez,et al. A multiobjective genetic algorithm for obtaining the optimal size of a recurrent neural network for grammatical inference , 2005, Pattern Recognit..
[2] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[3] Klaus Jantke,et al. Wrapper Induction Programs as Information Extraction Assistants , 2007 .
[4] Xin Yao,et al. Evolving artificial neural networks , 1999, Proc. IEEE.
[5] Xuan F. Zha,et al. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications , 2006 .
[6] Hussein A. Abbass,et al. A Memetic Pareto Evolutionary Approach to Artificial Neural Networks , 2001, Australian Joint Conference on Artificial Intelligence.
[7] Armando Blanco,et al. A genetic algorithm to obtain the optimal recurrent neural network , 2000, Int. J. Approx. Reason..
[8] Gorka Guardiola,et al. System Support for Smart Spaces , 2011 .
[9] Kevin Curran,et al. Ubiquitous Developments in Ambient Computing and Intelligence: Human-Centered Applications , 2011 .
[10] André L. V. Coelho,et al. An Evolutionary Framework for Nonlinear Time-Series Prediction with Adaptive Gated Mixtures of Experts , 2007 .
[11] Alejandro Pazos Sierra,et al. Encyclopedia of Artificial Intelligence , 2008 .
[12] C. Lee Giles,et al. Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution , 1995, IEEE Trans. Neural Networks.
[13] Manuel P. Cuéllar,et al. Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study , 2007, IWANN.
[14] Xin Yao,et al. Evolving hybrid ensembles of learning machines for better generalisation , 2006, Neurocomputing.
[15] Bernhard Sendhoff,et al. Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations , 2005, EMO.
[16] Alex Aussem,et al. Dynamical recurrent neural networks towards prediction and modeling of dynamical systems , 1999, Neurocomputing.
[17] Milan Stankovic,et al. Intelligent Software Agents with Applications in Focus , 2009, Encyclopedia of Artificial Intelligence.
[18] Fulvio Mastrogiovanni,et al. Proactive Assistance in Ecologies of Physically Embedded Intelligent Systems: A Constraint-Based Approach , 2011 .
[19] Andrew Vande Moere,et al. Beyond Ambient Display: A Contextual Taxonomy of Alternative Information Display , 2009, Int. J. Ambient Comput. Intell..
[20] Roland H. Kaschek,et al. Intelligent assistant systems - concepts, techniques and technologies , 2006 .
[21] Héctor Pomares,et al. Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation , 2003, IEEE Trans. Neural Networks.